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| 2021 | chapter | Taylor & Francis | Handbook of Artificial Intelligence in Biomedical Engineering | Healthcare Applications Using Biomedical AI System | 0 | 0 | 40 | back engendering AND neural • layer yields AND neural network • profound learning AND deep learning • recognizable proof AND identification • therapeutic picture AND medical image • Alzheimer's infection • actuation capacities • amended straight unit • back vector machine • bolster forward • bolster vector machine • bolster vector • choice tree • completely associated layer • convolutional neural system • coronary course infection • coronary course • cross-approval • crude information • discourse feeling acknowledgment • distinguishing proof • extricates highlights NOT specular • feeling acknowledgment • hereditary calculation • highlight extraction NOT specular • highlights are extricated • irregular timberland • lung knob • manufactured neural • more prominent exactness • neural arrange • neural organize • preparing information • profound convolutional • profound education • recognizable proof • restorative picture • savvy machines • therapeutic gadgets • touchy information | Invitation for human assessors | – |
| 2023 | chapter | Taylor & Francis | Artificial Intelligence, Blockchain, Computing and Security Volume 2 | A review of object–based detection using convolutional neural networks | 0 | 0 | 34 | back engendering AND neural • component map AND CNN • highlight map AND CNN • jumping box AND bounding box • profound learning AND deep learning • thing acknowledgment AND object recognition • yield layer AND neural • PC vision • back-engendering calculation • completely associated layer • completely associated network • component extraction • convolutional neural association • convolutional neural organization • distinguishing proof • enactment work • fake neural organizations • fake neural • highlight vector • huge information • intermittent neural organizations • limit esteem • loads and inclinations • man-made cognizance • misfortune capacity • neural associations • neural organization • picture acknowledgment • picture order • profound figuring • profound neural organization • recognizing confirmation • totally related layer • width and profundity | Invitation for human assessors | – |
| 2023 | proceeding | AIP Publishing | AIP Conference Proceedings | Evaluating the legacy of steganography approaches | 0 | 0 | 33 | expense work AND loss function • mystery key AND encryption • picture arrangement AND image classification • profound learning AND deep learning • actuation work • blunder rate • brain organization • contingent likelihood • discourse acknowledgement • discourse acknowledgment • fake brain networks • generative ill-disposed network • generative ill-disposed • help vector machine • likelihood appropriation • likelihood circulation • likelihood dissemination • machine interpretation • mean square blunder • misfortune work • normal language handling • picture acknowledgment • profound brain network • profound brain organization • programmed discourse acknowledgment • repetitive brain network • restrictive likelihood • secret layer • shading mutilation • shading pictures • shading space • square blunder • word blunders | Invitation for human assessors | – |
| 2024 | proceeding | AIP Publishing | AIP Conference Proceedings | A contemporary approach for emotion recognition using deep learning techniques from IEMOCAP multimodal emotion dataset | 0 | 0 | 31 | component guide AND CNN • recognizable proof AND identification • LSTM Neural organization • LSTM organization • MFCC highlights • acoustic highlights • casing picture~3 • co-event framework • convolutional neural organization • counterfeit intelligence • disarray framework • discourse acknowledgment • discourse feeling acknowledgment • enactment work • extricating highlights~20 NOT specular • feeling acknowledgment • feeling identification • feeling recognition • highlight vector • human-computer connection • informational collection • neglect door • neglect entryway • neural organization • preparation set • profound neural networks • profound neural organization • recognizable proof • recurrent neural organization • voice acknowledgment • yield door | Invitation for human assessors | – |
| 2022 | chapter | Springer Nature | Information and Communication Technology for Competitive Strategies (ICTCS 2021) | Various Diabetes Detection Techniques a Survey | 1 | 0 | 30 | neural community AND neural network • records mining AND data mining • Gaussian dissemination • K-closest neighbors • PC vision • calculated relapse • deep getting to know • device mastering • grouping and relapse • grouping relapse~5 • information mining • information stockroom • informational index • likelihood appropriation • likelihood thickness work • likelihood thickness • needy variable • neural community • neural organization • picture division • preparation informational index • preparation informational indexes • prescient model • receptive oxygen species • schooling set of rules • secret layer • secret neuron • speculation execution • stochastic angle • strategic relapse | Invitation for human assessors | – |
| 2024 | proceeding | AIP Publishing | AIP Conference Proceedings | Investigation of machine learning algorithms for the pre-estimating medical diagnosis | 0 | 0 | 30 | directed learning AND supervised learning • help vectors AND support vectors • malignant growth AND cancer • AI calculation • cardiovascular breakdown • chest torment • choice tree • common language handling • coronary corridor • coronary course infection • coronary course • coronary illness • distinguishing proof • ethnic gatherings • expectation exactness • extricated highlights NOT specular • fuzzy rationale • heart sickness • irregular timberland • logistic relapse • lung knob • myocardial localized necrosis • needy variable • neural organization • picture handling strategies • pre-handling • pre-preparing • prescient investigation • prescient precision • registered tomography | Invitation for human assessors | – |
| 2022 | chapter | Taylor & Francis | Next Generation Healthcare Systems Using Soft Computing Techniques | An Epileptic Seizure Detection and Classification Based on Machine Learning Techniques | 1 | 0 | 29 | help vectors AND support vectors • non-direct AND non-straight • recurrence groups AND cepstral • regulated learning AND supervised learning • vaticination AND algorithm • AI calculation • administered learning • arbitrary backwoods • arbitrary timberland • arrangement execution • assistance vector machine • choice tree • component extraction • extricating highlights~20 NOT specular • feed-forward neural organization • grouping relapse~5 • help vector machine • highlight extraction NOT specular • information mining • informational collection • intermittent neural networks • into the combination • neural organization • pre-handling • random timberland • recurrence space • sign to commotion • time recurrence space • wavelet change | Invitation for human assessors | – |
| 2021 | chapter | Springer Nature | Sentimental Analysis and Deep Learning | SVM, CNN and VGG16 Classifiers of Artificial Intelligence Used for the Detection of Diseases of Rice Crop: A Review | 4 | 0 | 28 | help vectors AND support vectors • non-direct AND non-straight • profound learning AND deep learning • recognizable proof AND identification • PC vision • backing vector machine • backing vector • brilliant cultivating • creepy crawlies • customary strategies • distinguishing proof • face acknowledgment • fluffy rationale • grouping relapse~5 • help vector machine • highlight extraction NOT specular • k-implies grouping • man-made reasoning • non-direct capacities • picture taking care of • pre-handling • pre-preparing • profound CNN • programmed distinguishing proof • recognizable proof • savvy machines • simulated intelligence • straight non-direct~5 | Invitation for human assessors | – |
| 2021 | chapter | Taylor & Francis | Intelligent System Algorithms and Applications in Science and Technology | Machine Learning Theory and Methods | 4 | 0 | 28 | directed learning AND supervised learning • regulated learning AND supervised learning • AI calculation • Gini list • administered learning calculations • administered learning • back likelihood • choice tree • data gain • earlier likelihood • grouping and relapse • grouping relapse~5 • guileless Bayes • gullible Bayes • huge information • info and yield • information picture • informational index • picture division • preparation dataset • preparing information • reconnaissance framework • restrictive likelihood • savvy framework • spam sifting • straight non-direct~5 • straight relapse • unaided learning | Invitation for human assessors | – |
| 2021 | chapter | Springer Nature | Applications of Artificial Intelligence in Engineering | Review of Classifiers Used for Identification and Classification of Plant Leaf Diseases | 1 | 0 | 28 | arrangement strategy AND classification method • back engendering AND neural • design acknowledgment AND pattern recognition • recognizable proof AND identification • acknowledgment exactness • as pursues • back-engendering calculation • component extraction • concealed state • covered layer • creepy crawlies • distinguishing proof • district of intrigue • elite registering • example acknowledgment • fluffy set • highlight extraction NOT specular • informational index • picture preparing • plant ailments • plant distinguishing proof • preparing design • recognizable proof • shading histogram • shading space • shrouded layer • sigmoid capacity • species recognizable proof | Invitation for human assessors | – |
| 2024 | preprint | Research Square Platform LLC | Research Square | Quantum Neural Networks: A Novel Architecture for Hybrid Quantum-Classical Algorithms | 0 | 0 | 28 | back engendering AND neural • design acknowledgment AND pattern recognition • yield layer AND neural • Gaussian commotion • Wiener sifting • accuracy and review • actuation capacities • angle plummet • artificial neural system (ANN) • back vector machine • blunder rate • computational errand • convolutional neural system • covered-up layer • cross breed model~5 • cross-entropy misfortune • enactment capacities • fake neural • generative ill-disposed • half-breed calculation • highlight extraction NOT specular • misfortune capacity • misfortune work • neural arrange • neural organize • slope plummet • squared blunder • stochastic angle | Invitation for human assessors | – |
| 2023 | chapter | Springer Nature | Artificial Intelligence for Societal Issues | Covid-19 Diagnosis Based on Fuzzy-Deep Learning Algorithm | 0 | 0 | 28 | cross-endorsement AND classification • delicate registering AND soft computing • enrollment capacities AND activation functions • enrollment works AND activation functions • profound learning AND deep learning • PC vision • brain organization • cross breed frameworks • cross-approval • crude information • dimensionality decrease • disarray grid • disarray network • exactness accuracy~5 • exactness, accuracy, review • fluffy framework • fluffy guideline • fluffy rationale • fluffy set • head part examination • highlight extraction NOT specular • individuals kicked the bucket • infections forecast • information mining • information picture • pre-preparing • recognizable proof • wavelet change | Invitation for human assessors | – |
| 2023 | preprint | Research Square Platform LLC | Research Square | An Efficient Healthcare Monitoring System for Cardiovascular Diseases using Deep Modified Neural Networks | 0 | 0 | 28 | highlight choice AND feature selection • profound learning AND deep learning • supply route AND artery • yield layer AND neural • ROC bend • accuracy, review and f1-score • as takes after • bolster vector • calculated relapse • choice tree • convolutional neural system • counterfeit insight • counterfeit insights • enactment work • exactness, review • heart assault • heart sickness • highlight extraction NOT specular • include choice • irregular woodland • manufactured insights • most elevated precision • neural arrange • nonstop checking • preparing information • prescient model • restorative picture • the taking after | Invitation for human assessors | – |
| 2023 | proceeding | AIP Publishing | AIP Conference Proceedings | Applications of ML and AI based technologies for real-time signal processing on autonomous system | 0 | 0 | 28 | design acknowledgment AND pattern recognition • element space AND feature space • recurrence area AND signal • signal preparing AND signal processing • commotion decrease • design acknowledgment pattern recognition~20 • discourse blend • discourse combination • discourse detachment • discourse preparing • discourse signal • distant detecting • example acknowledgment • fake neural organizations • fake neural • fluffy rationale • fluffy set • hereditary calculation • highlight extraction NOT specular • huge information • inclination plummet • k-implies bunching • man-made brainpower • manmade brainpower • neural organization • picture acknowledgment • picture division • recurrence space | Invitation for human assessors | – |
| 2017 | preprint | – | arXiv | Efficient and Secure Routing Protocol for WSN-A Thesis | 0 | 1 | 28 | grouping calculation AND clustering algorithm • information parcel AND data packet • interruption location AND intrusion detection • mystery key AND encryption • recognizable proof AND identification • computerized mark • directing convention • gatherings clustering~10 • imperativeness profitable • imperativeness usage • interruption discovery • named information • noxious hub • pernicious hub • pernicious node • portable specially appointed systems • recognizable proof • remaining vitality • remote sensor frameworks • sensor mastermind • specially appointed system • steering convention • vindictive node • vitality effective • vitality proficient • vitality thickness • vitality utilization • wormhole assault | Invitation for human assessors | – |
| 2022 | chapter | Wiley | Handbook of Intelligent Computing and Optimization for Sustainable Development | Intelligent Computing for Precision Agriculture | 0 | 0 | 28 | brilliant AND keen AND savvy AND shrewd • profound learning AND deep learning • remote detecting AND remote sensing • AI calculation • Kalman channel • PC vision • accuracy and review • brilliant cultivating • creature well-being • distant detecting • exactness accuracy~5 • far off detecting • haze processing • immature nations • installed framework • man-made brainpower • man-made reasoning • mist figuring • neural organization • picture division • picture preparing • profound figuring • savvy cultivating • self-governing vehicle • self-ruling vehicles • simulated intelligence • test arrangement • untamed life | Invitation for human assessors | – |
| 2022 | preprint | Research Square Platform LLC | Research Square | Using Machine Learning Techniques to Increase Profit by Retaining Customers | 0 | 0 | 28 | call tree AND decision tree • irregular forest AND random forest • AI calculation • administered AI • administered learning • backing vector machine • backing vector • bogus positive • choice tree • cross-approval • directed learning calculation • disarray network • discourse acknowledgment • exactness accuracy~5 • information mining • informational collection • informational index • irregular woodland • man-made brainpower • misleading negative • most elevated precision • named preparing information • penmanship acknowledgment • preparation information • preparing information • random choice woodland • solo learning • unaided learning | Invitation for human assessors | – |
| 2021 | chapter | Taylor & Francis | Integrating Deep Learning Algorithms to Overcome Challenges in Big Data Analytics | Deep Learning in Medical Image Classification | 0 | 0 | 28 | information expansion AND data augmentation • initiation capacity AND activation function • malignant growth AND cancer • non-direct AND non-straight • pre-prepared AND pre-trained • yield layer AND neural • AI calculation • Parkinson's illness • approval precision • blood clusters • characterization relapse~5 • completely associated layer • cross-approval • crude information • dimensionality decrease • distant detecting • enactment work • image acknowledgment • info layer • initiation work • irresistible illnesses • prescient model • removing highlights NOT specular • repetitive neural network • separating highlight NOT specular • shrouded layer • skin malignant growth • teachable boundaries | Invitation for human assessors | – |
| 2022 | chapter | Springer Nature | Business Data Analytics | Prostate Cancer Data Analytics Using Hybrid ECNN and ERNN Techniques | 0 | 0 | 28 | malignant growth AND cancer • AI calculation • accuracy and review • attractive reverberation • bogus positive FP~5 • bogus positive • brilliant gadget • counterfeit neural • cross-approval • driving reason • exactness accuracy~5 • exactness, accuracy, review • extricating highlights~20 NOT specular • genuine negative TN~5 • genuine positive TP~5 • informational index • man-made brainpower • misleading pessimistic • misleading positive rate • most elevated precision • particularity, responsiveness • positive prescient worth • region under the bend • responsiveness and particularity • scale-invariant element change • simulated intelligence • symphonious mean • tainted patients | Invitation for human assessors | – |
| 2022 | chapter | Elsevier | Edge/Fog Computing Paradigm: The Concept Platforms and Applications | Artificial intelligence on edge devices | 5 | 0 | 27 | device learning AND machine learning • exchange learning AND transfer learning • profound learning AND deep learning • recognizable proof AND identification • PC vision • bouncing box • completely associated layer • computer-based intelligence • disappearing gradient problem~5 • distinguishing proof • element extractor • energy proficiency • hereditary calculation • high-level driver helps frameworks • information picture • informational collection • informational index • man-made brainpower • man-made intelligence • open mists • optical stream • pre-handling • recognizable proof • simulated intelligence • the taking after • tongue processing • totally connected layer | Invitation for human assessors | – |