U. Rajendra Acharya - researchr alias

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Viewing Publication 1 - 100 from 493

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 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]

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]

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]

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]

Remote patient monitoring using artificial intelligence: Current state, applications, and challengesThanveer Shaik 0001, Xiaohui Tao, Niall Higgins, Lin Li 0001, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya. widm, 13(2), March/April 2023. [doi]

A novel automated robust dual-channel EEG-based sleep scoring system using optimal half-band pair linear-phase biorthogonal wavelet filter bankManish Sharma 0001, Paresh Makwana, Rajesh Singh Chad, U. Rajendra Acharya. apin, 53(15):18681-18699, August 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]

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]

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]

Swarm Intelligence in Internet of Medical Things: A ReviewRoohallah Alizadehsani, Mohamad Roshanzamir, Navid Hoseini Izadi, Raffaele Gravina, Hussain Mohammed Dipu Kabir, Darius Nahavandi, Hamid Alinejad-Rokny, Abbas Khosravi, U. Rajendra Acharya, Saeid Nahavandi, Giancarlo Fortino. sensors, 23(3):1466, February 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]

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]

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]

Novel favipiravir pattern-based learning model for automated detection of specific language impairment disorder using vowelsPrabal Datta Barua, Emrah Aydemir, Sengul Dogan, Mehmet Erten, Feyzi Kaysi, Turker Tuncer, Hamido Fujita, Elizabeth Emma Palmer, U. Rajendra Acharya. nca, 35(8):6065-6077, March 2023. [doi]

Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG databasePrabal Datta Barua, Tugce Keles, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Caner Feyzi Demir, Hamido Fujita, Ru San Tan, Chui Ping Ooi, U. Rajendra Acharya. bspc, 79(Part):104055, 2023. [doi]

Automated facial expression recognition using exemplar hybrid deep feature generation techniqueMehmet Baygin, Ilknur Tuncer, Sengul Dogan, Prabal Datta Barua, Turker Tuncer, Kang Hao Cheong, U. Rajendra Acharya. soco, 27(13):8721-8737, July 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]

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning ModelsMichael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Jing Zhu, Hui Wen Loh, Prabal Datta Barua, U. Rajendra Acharya. sensors, 23(14):6585, July 2023. [doi]

Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A reviewMahboobeh Jafari, Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Abbas Khosravi, Sai-Ho Ling, Niloufar Delfan, Yudong Zhang 0001, Shui-Hua Wang, Juan Manuel Górriz, Hamid Alinejad-Rokny, U. Rajendra Acharya. cbm, 160:106998, June 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]

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]

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]

ALEC: Active learning with ensemble of classifiers for clinical diagnosis of coronary artery diseaseFahime Khozeimeh, Roohallah Alizadehsani, Milad Shirani, Mehrzad Tartibi, Afshin Shoeibi, Hamid Alinejad-Rokny, Chandrashekhar Harlapur, Sayed Javed Sultanzadeh, Abbas Khosravi, Saeid Nahavandi, Ru San Tan, U. Rajendra Acharya. cbm, 158:106841, May 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]

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]

PatchResNet: Multiple Patch Division-Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI ImagesTaha Müezzinoglu, Nursena Baygin, Ilknur Tuncer, Prabal Datta Barua, Mehmet Baygin, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Kang Hao Cheong, U. Rajendra Acharya. jdi, 36(3):973-987, June 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]

Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT imagesKiran Kumar Patro, Allam Jaya Prakash, Bala Chakravarthy Neelapu, Ryszard Tadeusiewicz, U. Rajendra Acharya, Mohamed Hammad, Özal Yildirim, Pawel Plawiak. isci, 640:119005, 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]

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]

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]

Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challengesManish Sharma, Harsh Lodhi, Rishita Yadav, Heather Elphick, U. Rajendra Acharya. cmpb, 235:107471, June 2023. [doi]

Gynecological cancer prognosis using machine learning techniques: A systematic review of the last three decades (1990-2022)Joshua Sheehy, Hamish Rutledge, U. Rajendra Acharya, Hui Wen Loh, Raj Gururajan, Xiaohui Tao, Xujuan Zhou, Yuefeng Li, Tiana Gurney, Srinivas Kondalsamy-Chennakesavan. artmed, 139:102536, May 2023. [doi]

Diagnosis of brain diseases in fusion of neuroimaging modalities using deep learning: A reviewAfshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Parisa Moridian, Roohallah Alizadehsani, Sai-Ho Ling, Abbas Khosravi, Hamid Alinejad-Rokny, Hak-Keung Lam, Matthew Fuller-Tyszkiewicz, U. Rajendra Acharya, Donovan-Anderson, Yudong Zhang 0001, Juan Manuel Górriz. inffus, 93:85-117, May 2023. [doi]

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatmentMatthew R. Squires, Xiaohui Tao, Soman Elangovan, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya, Yuefeng Li. braininf, 10(1):10, December 2023. [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]

Automated accurate detection of depression using twin Pascal's triangles lattice pattern with EEG SignalsGulay Tasci, Hui Wen Loh, Prabal Datta Barua, Mehmet Baygin, Burak Tasci, Sengul Dogan, Turker Tuncer, Elizabeth Emma Palmer, Ru San Tan, U. Rajendra Acharya. kbs, 260:110190, 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]

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]

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]

2022

Automated detection of obstructive sleep apnea in more than 8000 subjects using frequency optimized orthogonal wavelet filter bank with respiratory and oximetry signalsManish Sharma 0001, Divyash Kumbhani, Jainendra Tiwari, T. Sudheer Kumar, U. Rajendra Acharya. cbm, 144:105364, 2022. [doi]

Automated identification of sleep disorders using wavelet-based features extracted from electrooculogram and electromyogram signalsManish Sharma 0001, Jay Darji, Madhav Thakrar, U. Rajendra Acharya. cbm, 143:105224, 2022. [doi]

Automated Sleep apnea detection using optimal duration-frequency concentrated wavelet-based features of pulse oximetry signalsManish Sharma 0001, Divyash Kumbhani, Anuj Yadav, U. Rajendra Acharya. apin, 52(2):1325-1337, 2022. [doi]

Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signalsV. Jahmunah 0001, E. Y. K. Ng, Ru San Tan, Shu Lih Oh, U. Rajendra Acharya. cbm, 146:105550, 2022. [doi]

DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signalsErhan Akbal, Prabal Datta Barua, Sengül Dogan, Türker Tuncer, U. Rajendra Acharya. eswa, 193:116447, 2022. [doi]

Development of novel automated language classification model using pyramid pattern technique with speech signalsErhan Akbal, Prabal Datta Barua, Turker Tuncer, Sengul Dogan, U. Rajendra Acharya. nca, 34(23):21319-21333, 2022. [doi]

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteriesRoohallah Alizadehsani, Mohamad Roshanzamir, Moloud Abdar, Adham Beykikhoshk, Abbas Khosravi, Saeid Nahavandi, Pawel Plawiak, Ru San Tan, U. Rajendra Acharya. es, 39(7), 2022. [doi]

Accurate detection of autism using Douglas-Peucker algorithm, sparse coding based feature mapping and convolutional neural network techniques with EEG signalsBerna Ari, Nebras Sobahi, Ömer Faruk Alçin, Abdulkadir Sengür, U. Rajendra Acharya. cbm, 143:105311, 2022. [doi]

An accurate valvular heart disorders detection model based on a new dual symmetric tree pattern using stethoscope soundsPrabal Datta Barua, Mehdi Karasu, Mehmet Ali Kobat, Yunus Balik, Tarik Kivrak, Mehmet Baygin, Sengül Dogan, Fahrettin Burak Demir, Türker Tuncer, Ru San Tan, U. Rajendra Acharya. cbm, 146:105599, 2022. [doi]

Exemplar Darknet19 feature generation technique for automated kidney stone detection with coronal CT imagesMehmet Baygin, Orhan Yaman, Prabal Datta Barua, Sengül Dogan, Türker Tuncer, U. Rajendra Acharya. artmed, 127:102274, 2022. [doi]

A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG SignalMehmet Baygin, Prabal Datta Barua, Sengül Dogan, Türker Tuncer, Sefa Key, U. Rajendra Acharya, Kang Hao Cheong. sensors, 22(5):2007, 2022. [doi]

Efficient deep neural network model for classification of grasp types using sEMG signalsMusab Coskun, Özal Yildirim, Yakup Demir, U. Rajendra Acharya. jaihc, 13(9):4437-4450, 2022. [doi]

Automated robust human emotion classification system using hybrid EEG features with ICBrainDB datasetErkan Deniz, Nebras Sobahi, Naaman Omar, Abdulkadir Sengür, U. Rajendra Acharya. hisas, 10(1):31, 2022. [doi]

Automated accurate fire detection system using ensemble pretrained residual networkSengul Dogan, Prabal Datta Barua, Huseyin Kutlu, Mehmet Baygin, Hamido Fujita, Turker Tuncer, U. Rajendra Acharya. eswa, 203:117407, 2022. [doi]

RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray imagesEl-Sayed A. El-Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, Ripon K. Chakrabortty, Hui Wen Loh, U. Rajendra Acharya. eswa, 204:117410, 2022. [doi]

Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic UnderstandingAnjan Gudigar, U. Raghavendra, Jyothi Samanth, Akhila Vasudeva, Ashwal A. A. J., Krishnananda Nayak, Ru San Tan, Edward J. Ciaccio, Ooi Chui Ping, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya. informatics, 9(2):34, 2022. [doi]

Aleatory-aware deep uncertainty quantification for transfer learningHussain Mohammed Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, Abbas Khosravi, Subrota Kumar Mondal, Saeid Nahavandi, U. Rajendra Acharya. cbm, 143:105246, 2022. [doi]

Explainable multi-module semantic guided attention based network for medical image segmentationMeghana Karri, Chandra Sekhara Rao Annavarapu, U. Rajendra Acharya. cbm, 151(Part):106231, 2022. [doi]

Automated classification of attention deficit hyperactivity disorder and conduct disorder using entropy features with ECG signalsJoel E. W. Koh, Ooi Chui Ping, Nikki S. J. Lim-Ashworth, Jahmunah Vicnesh, Hui Tian Tor, Shu Lih Oh, Ru San Tan, U. Rajendra Acharya, Daniel Shuen Sheng Fung. cbm, 140:105120, 2022. [doi]

Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022)Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, Prabal Datta Barua, Filippo Molinari, U. Rajendra Acharya. cmpb, 226:107161, 2022. [doi]

Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural networkHui Wen Loh, Ooi Chui Ping, Shivani Dhok, Manish Sharma 0001, Ankit A. Bhurane, U. Rajendra Acharya. apin, 52(3):2903-2917, 2022. [doi]

Automated detection of ADHD: Current trends and future perspectiveHui Wen Loh, Ooi Chui Ping, Prabal Datta Barua, Elizabeth Emma Palmer, Filippo Molinari, U. Rajendra Acharya. cbm, 146:105525, 2022. [doi]

Decision support system for major depression detection using spectrogram and convolution neural network with EEG signalsHui Wen Loh, Ooi Chui Ping, Emrah Aydemir, Türker Tuncer, Sengül Dogan, U. Rajendra Acharya. es, 39(3), 2022. [doi]

Application of photoplethysmography signals for healthcare systems: An in-depth reviewHui Wen Loh, Shuting Xu, Oliver Faust, Ooi Chui Ping, Prabal Datta Barua, Subrata Chakraborty, Ru San Tan, Filippo Molinari, U. Rajendra Acharya. cmpb, 216:106677, 2022. [doi]

Automated emotion recognition: Current trends and future perspectivesM. Maithri, U. Raghavendra, Anjan Gudigar, Jyothi Samanth, Prabal Datta Barua, Murugappan Murugappan, Yashas Chakole, U. Rajendra Acharya. cmpb, 215:106646, 2022. [doi]

Development of a Computational Tool for the Estimation of Alveolar Bone Loss in Oral Radiographic ImagesM. Maithri, Dhanush G. Ballal, Santhosh Kumar, U. Raghavendra, Anjan Gudigar, Wai-Yee Chan, Shravya Macherla, Ravindranath Vineetha, Pratibha Gopalkrishna, Edward J. Ciaccio, U. Rajendra Acharya. computation, 10(1):8, 2022. [doi]

Automated classification of cyclic alternating pattern sleep phases in healthy and sleep-disordered subjects using convolutional neural networkShruti Murarka, Aditya Wadichar, Ankit A. Bhurane, Manish Sharma 0001, U. Rajendra Acharya. cbm, 146:105594, 2022. [doi]

Application of artificial intelligence in wearable devices: Opportunities and challengesDarius Nahavandi, Roohallah Alizadehsani, Abbas Khosravi, U. Rajendra Acharya. cmpb, 213:106541, 2022. [doi]

Fusion of B-mode and shear wave elastography ultrasound features for automated detection of axillary lymph node metastasis in breast carcinomaThe-Hanh Pham, Oliver Faust, Joel Koh En Wei, Edward J. Ciaccio, Prabal Datta Barua, Norlia Omar, Wei Lin Ng, Nazimah Ab Mumin, Kartini Rahmat, U. Rajendra Acharya. es, 39(5), 2022. [doi]

Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative studyU. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya. imst, 32(2):501-516, 2022. [doi]

Electrochemical Biosensing and Deep Learning-Based Approaches in the Diagnosis of COVID-19: A ReviewOmer Sadak, Ferhat Sadak, Özal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Ooi Chui Ping, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam. access, 10:98633-98648, 2022. [doi]

FedStack: Personalized activity monitoring using stacked federated learningThanveer Basha Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya. kbs, 257:109929, 2022. [doi]

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future worksAfshin Shoeibi, Parisa Moridian, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Roohallah Alizadehsani, Yinan Kong, Juan Manuel Górriz, Javier Ramírez 0001, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya. cbm, 149:106053, 2022. [doi]

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropiesAfshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian, Roohallah Alizadehsani, Assef Zare, Abbas Khosravi, Abdulhamit Subasi, U. Rajendra Acharya, Juan Manuel Górriz. bspc, 73:103417, 2022. [doi]

Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detectionNebras Sobahi, Abdulkadir Sengür, Ru San Tan, U. Rajendra Acharya. cbm, 143:105335, 2022. [doi]

Tetromino pattern based accurate EEG emotion classification modelTürker Tuncer, Sengül Dogan, Mehmet Baygin, U. Rajendra Acharya. artmed, 123:102210, 2022. [doi]

Development of accurate automated language identification model using polymer pattern and tent maximum absolute pooling techniquesTürker Tuncer, Sengül Dogan, Erhan Akbal, Abdullah Cicekli, U. Rajendra Acharya. nca, 34(6):4875-4888, 2022. [doi]

Gabor CNN Based Intelligent System for Visual Sentiment Analysis of Social Media Data on Cloud EnvironmentSiddhaling Urolagin, Jagadish Nayak, U. Rajendra Acharya. access, 10:132455-132471, 2022. [doi]

Automated Intracranial Hematoma Classification in Traumatic Brain Injury (TBI) Patients Using Meta-Heuristic Optimization TechniquesVidhya V., U. Raghavendra, Anjan Gudigar, Praneet Kasula, Yashas Chakole, Ajay Hegde, Girish Menon R, Ooi Chui Ping, Edward J. Ciaccio, U. Rajendra Acharya. informatics, 9(1):4, 2022. [doi]

A review of automated sleep disorder detectionShuting Xu, Oliver Faust, Silvia Seoni, Subrata Chakraborty, Prabal Datta Barua, Hui Wen Loh, Heather Elphick, Filippo Molinari, U. Rajendra Acharya. cbm, 150:106100, 2022. [doi]

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