U. Rajendra Acharya - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 555

2024

An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet-based entropy featuresManish Sharma 0001, Ankit A. Bhurane, U. Rajendra Acharya. es, 41(5), May 2024. [doi]

Sleep disorder identification using wavelet scattering on ECG signalsManish Sharma 0001, Harsh Lodhi, Rishita Yadav, U. Rajendra Acharya. imst, 34(1), January 2024. [doi]

Automated reading level classification model based on improved orbital patternRusul Qasim Abed, Melih Dikmen, Emrah Aydemir, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Edward J. Ciaccio, U. Rajendra Acharya. mta, 83(17):52819-52840, May 2024. [doi]

Retraction Note: Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signalsU. Rajendra Acharya, Hamido Fujita, Vidya K. Sudarshan, Shu Lih Oh, Muhammad Adam, Joel E. W. Koh, Jen-Hong Tan, Chua Kuang Chua, Chua Kok Poo, Ru San Tan. nca, 36(19):11677, July 2024. [doi]

Improved binary differential evolution with dimensionality reduction mechanism and binary stochastic search for feature selectionBehrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya. asc, 151:111141, January 2024. [doi]

Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023)Muhammed Halil Akpinar, Abdulkadir Sengür, Oliver Faust, Louis Tong, Filippo Molinari, U. Rajendra Acharya. cmpb, 254:108253, 2024. [doi]

CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound ImagesTanweer Ali, Sameena Pathan, Massimo Salvi, Kristen M. Meiburger, Filippo Molinari, U. Rajendra Acharya. access, 12:73970-73979, 2024. [doi]

Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity MapsSara Bagherzadeh, Ahmad Shalbaf, Afshin Shoeibi, Mahboobeh Jafari, Ru San Tan, U. Rajendra Acharya. access, 12:50949-50965, 2024. [doi]

Novel automated detection of sports activities using shadow videosPrabal Datta Barua, Turker Tuncer, Sengul Dogan, Chui Ping Ooi, U. Rajendra Acharya. mta, 83(15):44933-44954, May 2024. [doi]

ExDarkLBP: a hybrid deep feature generation-based genetic malformation detection using facial imagesPrabal Datta Barua, Serkan Kirik, Sengul Dogan, Canan Koc, Fatih Özkaynak, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. mta, 83(13):39823-39840, April 2024. [doi]

Automated anxiety detection using probabilistic binary pattern with ECG signalsMehmet Baygin, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Jen-Hong Tan, Sonja March, Ru San Tan, Filippo Molinari, U. Rajendra Acharya. cmpb, 247:108076, 2024. [doi]

Retraction Note: A novel approach for automated detection of focal EEG signals using empirical wavelet transformAbhijit Bhattacharyya, Manish Sharma 0001, Ram Bilas Pachori, Pradip Sircar, U. Rajendra Acharya. nca, 36(19):11697, July 2024. [doi]

CDAM-Net: Channel shuffle dual attention based multi-scale CNN for efficient glaucoma detection using fundus imagesDipankar Das, Deepak Ranjan Nayak, Sulatha V. Bhandary, U. Rajendra Acharya. eaai, 133:108454, 2024. [doi]

An accurate hypertension detection model based on a new odd-even pattern using ballistocardiograph signalsSengul Dogan, Prabal Datta Barua, Turker Tuncer, U. Rajendra Acharya. eaai, 133:108306, 2024. [doi]

ExHyptNet: An explainable diagnosis of hypertension using EfficientNet with PPG signalsEl-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Smith K. Khare, Ru San Tan, U. Rajendra Acharya. eswa, 239:122388, 2024. [doi]

Novel tiny textural motif pattern-based RNA virus protein sequence classification modelMehmet Erten, Emrah Aydemir, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, Abdul Hafeez-Baig, U. Rajendra Acharya. eswa, 242:122781, 2024. [doi]

Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image spaceMaryam Fallahpoor, Subrata Chakraborty, Biswajeet Pradhan, Oliver Faust, Prabal Datta Barua, Chegeni Hossein, U. Rajendra Acharya. cmpb, 243:107880, January 2024. [doi]

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine modelSujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz, S. Ali Pourmousavi, U. Rajendra Acharya. eaai, 132:107918, 2024. [doi]

Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013-2023)Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, M. Maithri, Mahesh Anil Inamdar, Mukund A. Prabhu, Ajay Hegde, Massimo Salvi, Chai Hong Yeong, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya. cbm, 172:108207, 2024. [doi]

Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound ImagesAnjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra, Jyothi Samanth, Mahesh Anil Inamdar, Mukund A. Prabhu, U. Rajendra Acharya. access, 12:3659-3671, 2024. [doi]

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz. apin, 54(1):35-79, January 2024. [doi]

MixSleepNet: A Multi-Type Convolution Combined Sleep Stage Classification ModelXiaopeng Ji, Yan Li 0002, Peng Wen, Prabal Datta Barua, U. Rajendra Acharya. cmpb, 244:107992, 2024. [doi]

Uncertainty aware neural network from similarity and sensitivityHussain Mohammed Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady M. K. Mohamed, Saeid Nahavandi, U. Rajendra Acharya. asc, 149(Part A):111027, December 2024. [doi]

Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendationsSmith K. Khare, Victoria Blanes-Vidal, Esmaeil S. Nadimi, U. Rajendra Acharya. inffus, 102:102019, February 2024. [doi]

GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough soundsMehmet Kiliç, Prabal Datta Barua, Tugce Keles, Arif Metehan Yildiz, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Mutlu Kuluozturk, Ru San Tan, U. Rajendra Acharya. eaai, 127(Part A):107184, January 2024. [doi]

DSWIN: Automated hunger detection model based on hand-crafted decomposed shifted windows architecture using EEG signalsSerkan Kirik, Irem Tasci, Prabal Datta Barua, Arif Metehan Yildiz, Tugce Keles, Mehmet Baygin, Ilknur Tuncer, Sengul Dogan, Turker Tuncer, Aruna Devi, Ru San Tan, U. Rajendra Acharya. kbs, 300:112150, 2024. [doi]

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration frameworkElham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, Kwok-Leung Tsui. inffus, 108:102412, 2024. [doi]

Application of TQWT based filter-bank for sleep apnea screening using ECG signalsAnurag Nishad, Ram Bilas Pachori, U. Rajendra Acharya. jaihc, 15(1):893-904, January 2024. [doi]

Improved PSO With Visit Table and Multiple Direction Search Strategies for Skin Cancer Image SegmentationYagmur Olmez, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya, Hasan Saeed Mir. access, 12:840-867, 2024. [doi]

An automated earthquake classification model based on a new butterfly pattern using seismic signalsSuat Gokhan Ozkaya, Mehmet Baygin, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Subrata Chakraborty, U. Rajendra Acharya. eswa, 238(Part E):122079, March 2024. [doi]

Retraction Note: Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound imagesU. Raghavendra, U. Rajendra Acharya, Anjan Gudigar, Shetty Ranjan, Krishnananda Nayak, Pai Umesh, Jyothi Samanth, Chaithra Nayak. nca, 36(18):11021, 2024. [doi]

Multi-modality approaches for medical support systems: A systematic review of the last decadeMassimo Salvi, Hui Wen Loh, Silvia Seoni, Prabal Datta Barua, Salvador García, Filippo Molinari, U. Rajendra Acharya. inffus, 103:102134, March 2024. [doi]

Semi-supervised generative adversarial networks for improved colorectal polyp classification using histopathological imagesPradipta Sasmal, Vanshali Sharma, Allam Jaya Prakash, Manas Kamal Bhuyan, Kiran Kumar Patro, Nagwan M. Abdel Samee, Hayam Alamro, Yuji Iwahori, Ryszard Tadeusiewicz, U. Rajendra Acharya, Pawel Plawiak. isci, 658:120033, February 2024. [doi]

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signalsSilvia Seoni, Filippo Molinari, U. Rajendra Acharya, Shu Lih Oh, Prabal Datta Barua, Salvador García, Massimo Salvi. isci, 665:120383, 2024. [doi]

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systemsSilvia Seoni, Alen Shahini, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi. cmpb, 250:108200, 2024. [doi]

Automated accurate insomnia detection system using wavelet scattering method using ECG signalsNishant Sharma, Manish Sharma 0001, Hardik Telangore, U. Rajendra Acharya. apin, 54(4):3464-3481, 2024. [doi]

Automated detection and forecasting of COVID-19 using deep learning techniques: A reviewAfshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz. ijon, 577:127317, 2024. [doi]

Automated schizophrenia detection model using blood sample scattergram images and local binary patternBurak Tasci, Gulay Tasci, Hakan Ayyildiz, Aditya P. Kamath, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Edward J. Ciaccio, Subrata Chakraborty, U. Rajendra Acharya. mta, 83(14):42735-42763, April 2024. [doi]

Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection systemSinan Tatli, Gulay Macin, Irem Tasci, Burak Tasci, Prabal Datta Barua, Mehmet Baygin, Turker Tuncer, Sengul Dogan, Edward J. Ciaccio, U. Rajendra Acharya. eswa, 236:121314, February 2024. [doi]

FLP: Factor lattice pattern-based automated detection of Parkinson's disease and specific language impairment using recorded speechTurker Tuncer, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Elizabeth Emma Palmer, Sonja March, Edward J. Ciaccio, Ru San Tan, U. Rajendra Acharya. cbm, 173:108280, 2024. [doi]

Efficient reinforcement learning-based method for plagiarism detection boosted by a population-based algorithm for pretraining weightsJiale Xiong, Jing Yang, Lei Yan, Muhammad Awais, Abdullah Ayub Khan, Roohallah Alizadehsani, U. Rajendra Acharya. eswa, 238(Part E):122088, March 2024. [doi]

Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005-2023)Hamed Zamanian, Ahmad Shalbaf, M. R. Zali, A. R. Khalaj, P. Dehghan, M. Tabesh, B. Hatami, Roohallah Alizadehsani, Ru San Tan, U. Rajendra Acharya. cmpb, 244:107932, 2024. [doi]

2023

Uncertainty quantification in DenseNet model using myocardial infarction ECG signalsV. Jahmunah 0001, E. Y. K. Ng, Ru San Tan, Shu Lih Oh, U. Rajendra Acharya. cmpb, 229:107308, February 2023. [doi]

Automated insomnia detection using wavelet scattering network technique with single-channel EEG signalsManish Sharma 0001, Divyansh Anand, Sarv Verma, U. Rajendra Acharya. eaai, 126:106903, November 2023. [doi]

Automated Explainable Detection of Cyclic Alternating Pattern (CAP) Phases and Sub-Phases Using Wavelet-Based Single-Channel EEG SignalsManish Sharma 0001, Harsh Lodhi, Rishita Yadav, Niranjana Sampathila, Swathi K. S., U. Rajendra Acharya. access, 11:50946-50961, 2023. [doi]

Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural networkV. Jahmunah 0001, Sylvia Chen, Shu Lih Oh, U. Rajendra Acharya, Balram Chowbay. cbm, 153:106548, February 2023. [doi]

Expert system for detection of congestive heart failure using optimal wavelet and heart rate variability signals for wireless cloud-based environmentManish Sharma 0001, Sohamkumar Patel, U. Rajendra Acharya. es, 40(4), May 2023. [doi]

CAPSCNet: A novel scattering network for automated identification of phasic cyclic alternating patterns of human sleep using multivariate EEG signalsManish Sharma 0001, Sarv Verma, Divyansh Anand, Vikram M. Gadre, U. Rajendra Acharya. cbm, 164:107259, September 2023. [doi]

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image ClassificationMoloud Abdar, Mohammad Amin Fahami, Leonardo Rundo, Petia Radeva, Alejandro F. Frangi, U. Rajendra Acharya, Abbas Khosravi, Hak-Keung Lam, Alexander Jung, Saeid Nahavandi. tii, 19(1):274-285, 2023. [doi]

UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detectionMoloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhri Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi. inffus, 90:364-381, 2023. [doi]

Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigmMoloud Abdar, Arash Mehrzadi, Milad Goudarzi, Farzad Masoudkabir, Leonardo Rundo, Mohammad Mamouei, Evis Sala, Abbas Khosravi, Vladimir Makarenkov, U. Rajendra Acharya, Seyedmohammad Saadatagah, Mohammadreza Naderian, Salvador García, Nizal Sarrafzadegan, Saeid Nahavandi. inffus, 97:101813, September 2023. [doi]

Explainable automated anuran sound classification using improved one-dimensional local binary pattern and Tunable Q Wavelet Transform techniquesErhan Akbal, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya. eswa, 225:120089, September 2023. [doi]

Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysisAli Abbasian Ardakani, Afshin Mohammadi, Fariborz Faeghi, U. Rajendra Acharya. imst, 33(2):445-464, March 2023. [doi]

An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studiesAli Abbasian Ardakani, Afshin Mohammadi, Mohammad Mirza-Aghazadeh-Attari, U. Rajendra Acharya. cbm, 152:106438, 2023. [doi]

LSGP-USFNet: Automated Attention Deficit Hyperactivity Disorder Detection Using Locations of Sophie Germain's Primes on Ulam's Spiral-Based Features with Electroencephalogram SignalsOrhan Atila, Erkan Deniz, Ali Ari, Abdulkadir Sengür, Subrata Chakraborty, Prabal Datta Barua, U. Rajendra Acharya. sensors, 23(16):7032, August 2023. [doi]

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signalsPrabal Datta Barua, Emrah Aydemir, Sengul Dogan, Mehmet Ali Kobat, Fahrettin Burak Demir, Mehmet Baygin, Turker Tuncer, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya. mlc, 14(5):1651-1668, May 2023. [doi]

Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG SignalPrabal Datta Barua, Makiko Kobayashi, Masayuki Tanabe, Mehmet Baygin, Jose Kunnel Paul, Thomas Iype, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. access, 11:101359-101372, 2023. [doi]

NFSDense201: microstructure image classification based on non-fixed size patch division with pre-trained DenseNet201 layersPrabal Datta Barua, Sengul Dogan, Gurkan Kavuran, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. nca, 35(30):22253-22263, October 2023. [doi]

An accurate automated speaker counting architecture based on James Webb PatternPrabal Datta Barua, Arif Metehan Yildiz, Nida Canpolat, Tugce Keles, Sengul Dogan, Mehmet Baygin, Ilknur Tuncer, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya. eaai, 119:105821, March 2023. [doi]

Automated mental arithmetic performance detection using quantum pattern- and triangle pooling techniques with EEG signalsNursena Baygin, Emrah Aydemir, Prabal D. Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. eswa, 227:120306, October 2023. [doi]

Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical imagesKenan Erdem, Mehmet Ali Kobat, Mehmet Nail Bilen, Yunus Balik, Sevim Alkan, Feyzanur Cavlak, Ahmet Kursad Poyraz, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Mehmet Erten, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. imst, 33(4):1144-1159, July 2023. [doi]

Swin-LBP: a competitive feature engineering model for urine sediment classificationMehmet Erten, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. nca, 35(29):21621-21632, October 2023. [doi]

Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature ExtractionMehmet Erten, Ilknur Tuncer, Prabal Datta Barua, Kubra Yildirim, Sengul Dogan, Turker Tuncer, Ru San Tan, Hamido Fujita, U. Rajendra Acharya. jdi, 36(4):1675-1686, August 2023. [doi]

Automated analysis of small intestinal lamina propria to distinguish normal, Celiac Disease, and Non-Celiac Duodenitis biopsy imagesOliver Faust, Simona De Michele, Joel E. W. Koh, V. Jahmunah 0001, Shu Lih Oh, Aditya P. Kamath, Prabal Datta Barua, Edward J. Ciaccio, Suzanne K. Lewis, Peter H. R. Green, Govind Bhagat, U. Rajendra Acharya. cmpb, 230:107320, March 2023. [doi]

FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomasAnjan Gudigar, U. Raghavendra, Tejaswi N. Rao, Jyothi Samanth, Venkatesan Rajinikanth, Suresh Chandra Satapathy, Edward J. Ciaccio, Wai-Yee Chan, U. Rajendra Acharya. imst, 33(2):483-494, March 2023. [doi]

A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological ImagesMahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, Sarvesh Bhandary, Massimo Salvi, Ravinesh C. Deo, Prabal Datta Barua, Edward J. Ciaccio, Filippo Molinari, U. Rajendra Acharya. access, 11:108982-108994, 2023. [doi]

Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012-2022)S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Jeffrey Soar, U. Rajendra Acharya. access, 11:71905-71924, 2023. [doi]

PFP-HOG: Pyramid and Fixed-Size Patch-Based HOG Technique for Automated Brain Abnormality Classification with MRIEla Kaplan, Wai-Yee Chan, Hasan Baki Altinsoy, Mehmet Baygin, Prabal Datta Barua, Subrata Chakraborty, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya. jdi, 36(6):2441-2460, December 2023. [doi]

SGC-ARANet: scale-wise global contextual axile reverse attention network for automatic brain tumor segmentationMeghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya. apin, 53(12):15407-15423, June 2023. [doi]

Skin lesion segmentation using two-phase cross-domain transfer learning frameworkMeghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya. cmpb, 231:107408, April 2023. [doi]

A new one-dimensional testosterone pattern-based EEG sentence classification methodTugce Keles, Arif Metehan Yildiz, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Caner Feyzi Demir, Edward J. Ciaccio, U. Rajendra Acharya. eaai, 119:105722, March 2023. [doi]

Adazd-Net: Automated adaptive and explainable Alzheimer's disease detection system using EEG signalsSmith K. Khare, U. Rajendra Acharya. kbs, 278:110858, October 2023. [doi]

Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decadeSmith K. Khare, Sonja March, Prabal Datta Barua, Vikram M. Gadre, U. Rajendra Acharya. inffus, 99:101898, November 2023. [doi]

An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signalsSmith K. Khare, U. Rajendra Acharya. cbm, 155:106676, March 2023. [doi]

FGPat18: Feynman graph pattern-based language detection model using EEG signalsSerkan Kirik, Sengul Dogan, Mehmet Baygin, Prabal Datta Barua, Caner Feyzi Demir, Tugce Keles, Arif Metehan Yildiz, Nursena Baygin, Ilknur Tuncer, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. bspc, 85:104927, August 2023. [doi]

EfDenseNet: Automated Pulmonary Hypertension Detection Model Based on EfficientNetb0 and DenseNet201 Using CT ImagesTarik Kivrak, Jagadish Nayak, Mehmet Ali Gelen, Prabal Datta Barua, Mehmet Baygin, Hilal Erken Pamukcu, Sengul Dogan, Turker Tuncer, U. Rajendra Acharya. access, 11:142711-142724, 2023. [doi]

Automated Schizophrenia detection using local descriptors with EEG signalsT. Sunil Kumar, Kandala N. V. P. S. Rajesh, Shishir Maheswari, Vivek Kanhangad, U. Rajendra Acharya. eaai, 117(Part):105602, 2023. [doi]

Deep neural network technique for automated detection of ADHD and CD using ECG signalHui Wen Loh, Chui Ping Ooi, Shu Lih Oh, Prabal Datta Barua, Yi Ren Tan, Filippo Molinari, Sonja March, U. Rajendra Acharya, Daniel Shuen Sheng Fung. cmpb, 241:107775, November 2023. [doi]

An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus imagesVeena Mayya, S. Sowmya Kamath, Uma Kulkarni, Divyalakshmi Kaiyoor Surya, U. Rajendra Acharya. apin, 53(2):1548-1566, 2023. [doi]

A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation SystemsNeethu Mohan, S. Sachin Kumar, K. P. Soman, V. G. Sujadevi, Prabaharan Poornachandran, U. Rajendra Acharya. access, 11:39228-39242, 2023. [doi]

Automated semantic lung segmentation in chest CT images using deep neural networkM. Murugappan, Ali K. Bourisly, N. B. Prakash, M. G. Sumithra 0001, U. Rajendra Acharya. nca, 35(21):15343-15364, July 2023. [doi]

EpilepsyNet: Novel automated detection of epilepsy using transformer model with EEG signals from 121 patient populationShu Lih Oh, V. Jahmunah 0001, Elizabeth Emma Palmer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Salvador García, Filippo Molinari, U. Rajendra Acharya. cbm, 164:107312, September 2023. [doi]

PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signalsYagmur Olmez, Gonca Ozmen Koca, Abdulkadir Sengür, U. Rajendra Acharya. hisas, 11(1):22, December 2023. [doi]

Most complicated lock pattern-based seismological signal framework for automated earthquake detectionSuat Gokhan Ozkaya, Nursena Baygin, Prabal D. Barua, Arvind R. Singh, Mohit Bajaj, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. aeog, 118:103297, April 2023. [doi]

Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectivesU. Raghavendra, Anjan Gudigar, Aritra Paul, T. S. Goutham, Mahesh Anil Inamdar, Ajay Hegde, Aruna Devi, Chui Ping Ooi, Ravinesh C. Deo, Prabal Datta Barua, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya. cbm, 163:107063, September 2023. [doi]

Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signalsU. Raghavendra, Anjan Gudigar, Yashas Chakole, Praneet Kasula, Subha D. Puthankattil, Nahrizul Adib Kadri, Edward J. Ciaccio, U. Rajendra Acharya. es, 40(4), May 2023. [doi]

PrismPatNet: Novel prism pattern network for accurate fault classification using engine sound signalsSakir Engin Sahin, Gokhan Gulhan, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, Oliver Faust, U. Rajendra Acharya. es, 40(8), September 2023. [doi]

Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013-2023)Silvia Seoni, Jahmunah Vicnesh, Massimo Salvi, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya. cbm, 165:107441, October 2023. [doi]

NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signalsSamiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Prabal Datta Barua, U. Rajendra Acharya. bspc, 86(Part C):105272, September 2023. [doi]

Automated detection of scaphoid fractures using deep neural networks in radiographsAmanpreet Singh, Ali Abbasian Ardakani, Hui Wen Loh, P. V. Anamika, U. Rajendra Acharya, Sidharth Kamath, Anil K. Bhat. eaai, 122:106165, 2023. [doi]

Deep Image Analysis for Microalgae IdentificationJeffrey Soar, Shu Lih Oh, Hui Wen Loh, Aletha Ward, Ekta Sharma, Ravinesh C. Deo, Prabal Datta Barua, Ru San Tan, Eliezer Rinen, U. Rajendra Acharya. iiwas 2023: 280-292 [doi]

Automated Adrenal Gland Disease Classes Using Patch-Based Center Symmetric Local Binary Pattern Technique with CT ImagesSuat Kamil Sut, Mustafa Koc, Gokhan Zorlu, Ihsan Serhatlioglu, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. jdi, 36(3):879-892, June 2023. [doi]

Epilepsy detection in 121 patient populations using hypercube pattern from EEG signalsIrem Tasci, Burak Tasci, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Hamido Fujita, U. Rajendra Acharya. inffus, 96:252-268, August 2023. [doi]

Explainable attention ResNet18-based model for asthma detection using stethoscope lung soundsIhsan Topaloglu, Prabal Datta Barua, Arif Metehan Yildiz, Tugce Keles, Sengul Dogan, Mehmet Baygin, Huseyin Fatih Gul, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. eaai, 126:106887, November 2023. [doi]

A Hierarchical Approach for the Diagnosis of Sleep Disorders Using Convolutional Recurrent Neural NetworkAditya Wadichar, Shruti Murarka, Dhruvi Shah, Ankit A. Bhurane, Manish Sharma 0001, Hasan S. Mir, U. Rajendra Acharya. access, 11:125244-125255, 2023. [doi]

Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)Shuting Xu, Ravinesh C. Deo, Jeffrey Soar, Prabal Datta Barua, Oliver Faust, Nusrat Homaira, Adam Jaffe, Arm Luthful Kabir, U. Rajendra Acharya. cmpb, 241:107746, November 2023. [doi]

Application of Artificial Intelligence Techniques for Brain-Computer Interface in Mental Fatigue Detection: A Systematic Review (2011-2022)Hamwira Yaacob, Farhad Hossain, Sharunizam Shari, Smith K. Khare, Chui Ping Ooi, U. Rajendra Acharya. access, 11:74736-74758, 2023. [doi]

Application of novel DIRF feature selection algorithm for automated brain disease detectionSüleyman Yaman, Elif Isilay Ünlü, Hasan Güler, Abdulkadir Sengür, U. Rajendra Acharya. bspc, 85:105006, August 2023. [doi]

FF-BTP Model for Novel Sound-Based Community Emotion DetectionArif Metehan Yildiz, Masayuki Tanabe, Makiko Kobayashi, Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Turker Tuncer, Ru San Tan, U. Rajendra Acharya. access, 11:108705-108715, 2023. [doi]

A novel tree pattern-based violence detection model using audio signalsArif Metehan Yildiz, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Chui Ping Ooi, Hamido Fujita, U. Rajendra Acharya. eswa, 224:120031, August 2023. [doi]

All Publications

Filter by Year

[-]
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1

Researchr

Publications by 'U. Rajendra Acharya'

Viewing Publication 1 - 100 from 555

2024

2023

All Publications

Filter by Year [-]OR AND NOT 1

Filter by TypeOR AND NOT 1

Filter by TagOR AND NOT 1

Filter by Venue [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top Terms [+]OR AND NOT 1

Researchr

Publications by 'U. Rajendra Acharya'

Viewing Publication 1 - 100 from 555

2024

2023

Filter by Year

[-]
OR AND NOT 1

Filter by Type
OR AND NOT 1

Filter by Tag
OR AND NOT 1

Filter by Venue

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top Terms

[+]
OR AND NOT 1