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| 2024 | chapter | Taylor & Francis | Computational Methods in Science and Technology | A systemetic review of machine and deep learning approaches for anti cyber bullying system | 0 | 0 | 43 | brain organization AND neural network • help vectors AND support vectors • move learning AND transfer learning • pack-of-words AND bag of words • profound learning AND deep learning • regulated learning AND supervised learning • Convolutional Cerebrum Association • backing vector machine • backing vector • bogus positive • calculated relapse • choice tree • computer-based intelligence • convolutional brain organization • credulous Bayes • disdain discourse • exactness rate • fluffy grouping • fluffy rationale • gated intermittent units • grouping errand • guileless Bayes • gullible Bayes • help vector machine • hereditary calculation • highlight extraction NOT specular • informational collection • innocent Bayes • long momentary memory • long transient memory organizations • long transient memory • man-made reasoning • misleading negative • misleading up-side • most elevated precision • pre-handling • preparing information • profound brain network • regular language handling • repetitive brain organization • robotized identification • strategic relapse • text arrangement | Invitation for human assessors | – |
| 2024 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2024 International Conference on IoT, Communication and Automation Technology (ICICAT) | AI-Based Smart Prediction of Clinical Diseases: Random Forest and Naive Bayes Approach | 0 | 0 | 40 | irregular forest AND random forest • profound learning AND deep learning • yield layer AND neural • Fortification learning • ROC bend • affront resistance • ailment expectation • arbitrary timberland • arbitrary woodland • back vector machine • choice tree • chronicled information • coronary course • coronary supply route illness • counterfeit insight • covered-up layer • credulous Bayes • disarray lattice • distinguishing proof • forecast exactness • gullible Bayes • heart assault • highlight designing • honest to goodness positive • information mining • input esteems • irregular timberland • irregular woodland • manufactured insights • neural arrange • neural organize • preparing information • preparing set • radio recurrence • random woodland • review and exactness • route illness • sort 2 diabetes • square blunder • tall exactness | Invitation for human assessors | – |
| 2024 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2024 International Conference on IoT, Communication and Automation Technology (ICICAT) | AI Integration for Neurodegenerative Disorders: Advancements and Challenges | 0 | 0 | 36 | profound learning AND deep learning • versatile stages AND mobile • AI calculation • Alzheimer's illness • Alzheimer's infection • Alzheimer's malady • Kalman channel • Parkinson's illness • Parkinson's infection • Parkinson's malady • administered learning • arbitrary timberland • back vector machine • calculated relapse • convolutional neural system • counterfeit insight • covered-up layer • electronic wellbeing record • extricate highlights • extricates highlights NOT specular • fake insight • forecast blunder • hereditary calculation • in genuine time • information distribution center • manufactured insights • manufactured neural system • manufactured neural • molecule swarm • muscle shortcoming • neural arrange • preparing information • preparing set • prescient model • profound conviction systems • softmax relapse | Invitation for human assessors | – |
| 2024 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW) | Historical Strategies Flow Detection for Organizations using Machine Learning | 0 | 0 | 35 | device learning AND machine learning • machine studying AND machine learning • selection tree AND decision tree • system mastering AND machine learning • choice timber • choice tree • decision bushes • deep gaining knowledge • deep getting to know • deep mastering • deep studying • device gaining knowledge of algorithm • device getting to know • device mastering • device studying • gadget gaining knowledge • gadget learning • generative antagonistic networks • getting to know algorithm • information mining • laptop vision • machine gaining knowledge • machine getting to know • machine-gaining knowledge of • machine-mastering algorithms • machines getting to know • pattern reputation • privateness upkeep • random wooded area • random woodland • selection bushes • supervised gaining knowledge • supervised studying • system gaining knowledge of • system getting to know | Invitation for human assessors | – |
| 2025 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2025 International Conference on Pervasive Computational Technologies (ICPCT) | Machine Vision Technique with Image Segmentation in Digital Diagnostic System for Lung Cancer Detection | 0 | 0 | 35 | brain organization AND neural network • lung handles AND lung nodules • profound learning AND deep learning • therapeutic picture AND medical image • AI calculation • affectability and specificity • choice emotionally supportive • clamor sifting • computerized reasoning • convolutional brain organization • convolutional neural system • covered-up layer • crude picture information • distinguishing proof • extricate highlights • extricated highlights NOT specular • extricates highlights NOT specular • genuine positive rate • highlight extraction NOT specular • highlight extricated • highlights are extricated • lung knob • lung knobs • neural arrange • picture division • picture preparing • preparing and approval • preparing information • profound neural system • programming dialect • recognizable proof • restorative imaging • restorative picture • surface highlights NOT specular • untrue positive | Invitation for human assessors | – |
| 2017 | article | Indian Society for Education and Environment | Indian Journal of Science and Technology | A Hybrid Gesture Recognition Method for American Sign Language | 21 | 0 | 34 | character acknowledgment AND character recognition • Euclidean separation • K-closest neighbors • PC vision • ROC bend • acknowledgment framework • acknowledgment rate • bolster vector machine • bolster vector • condition of craftsmanship • cross-approval • crude information • dimensionality decrease • distinguishing proof • example acknowledgment • gesture acknowledgment • high-exactness • highlight extraction NOT specular • highlight extricated • highlight vector • human-computer connection • info information • irregular woodland • picture preparing • pre-handling • pre-preparing • preparation set • profound model • profound neural system • recognizable proof • region under the ROC bends • scale-invariant element change • straight non-direct~5 • voice acknowledgment | 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 | 1 | 0 | 34 | component guide AND CNN • LSTM Neural organization • LSTM organization • MFCC highlights • acknowledgment rate • acoustic highlights • casing picture~3 • co-event framework • convolutional neural organization • counterfeit intelligence • disarray framework • discourse acknowledgment • discourse feeling acknowledgment • discriminative highlight • enactment work • excessively enormous • extricated highlights NOT specular • 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 | – |
| 2025 | proceeding | AIP Publishing | AIP Conference Proceedings | Enhanced traffic sign management system using CNNs based on voice interaction, and live visual feedback | 0 | 0 | 33 | brain organization AND neural network • picture arrangement AND image classification • profound learning AND deep learning • traffic the board AND traffic management • IEEE Exchanges on • Intermittent Brain Organizations • PC vision • acknowledgment framework • actuation work • characterization relapse~5 • completely associated layer • computer-based intelligence • convolutional brain organization • disarray network • down-examining • exactness accuracy~5 • exactness, accuracy, review • facial acknowledgment • highlight extraction NOT specular • info information • intermittent brain organisations • irregular timberland • irregular woodland • loads and inclinations • loads and predispositions NOT COVID • man-made brainpower • misfortune capability • picture acknowledgment • picture grouping • preparation information • preparation set • regular language handling • speculation capacity | Invitation for human assessors | – |
| 2024 | chapter | Wiley | Deep Reinforcement Learning and Its Industrial Use Cases | Predictive Modeling of Rheumatoid Arthritis Symptoms | 0 | 0 | 33 | bogus positive AND false positive • brain organization AND neural network • component choice AND feature selection • element choice AND feature selection • help vectors AND support vectors • irregular woods AND random forest • profound learning AND deep learning • AI calculation • Rheumatoid joint pain • amino corrosive • arbitrary woodland • arrangement and relapse • ballot strategy • bogus positive • concealed layer • cross-approval • crude information • direct relapse • exactness accuracy~5 • fuzzy guideline • help vector machine • hereditary calculation • informational index • misleading negative • multi-facet perceptron • multifacet perceptron • neuro-fluffy • outfit classifier • outspread premise capability • pre-handled information • simulated intelligence • strategic relapse • surface highlights NOT specular | Invitation for human assessors | – |
| 2024 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2024 International Conference on IoT, Communication and Automation Technology (ICICAT) | AI Framework for Predicting Coronavirus Severity: Data-Driven Approach | 0 | 0 | 33 | irregular forest AND random forest • profound learning AND deep learning • AI calculation • arbitrary woodland • as takes after • back vector machine • calculated relapse • choice tree • chronicled information • common dialect preparing • conveyance framework • convolutional neural system • counterfeit insight • criticism circle • electronic wellbeing record • exactness, review • extreme ailment • fake insight • forecast exactness • highlight extraction NOT specular • in this think about • include choice • intense respiratory trouble • irregular timberland • irregular woodland • irresistible ailment • irresistible infections • manufactured insights • preparing information • preparing set • prescient model • restorative imaging • the taking after | Invitation for human assessors | – |
| 2023 | proceeding | AIP Publishing | AIP Conference Proceedings | Evaluating the legacy of steganography approaches | 0 | 0 | 33 | brain organization AND neural network • expense work AND loss function • mystery key AND encryption • picture arrangement AND image classification • profound learning AND deep learning • actuation work • blunder rate • 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 | Heart disease prediction using naive bayes, decision tree warm weighted associated rule mining | 0 | 0 | 33 | bosom AND breast • component determination AND feature selection • element choice AND feature selection • malignant growth AND cancer • supply route AND artery • AI calculation • affiliation rule mining • aid vector machine • arbitrary timberland • arrangement precision • assistance vector machine • bosom disease • bosom malignant • breast illness • choice tree • collector working trademark • component determination calculation • condition of-workmanship • coronary corridor • coronary illness • coronary sickness • cross-approval • directed learning calculation • guileless Bayes • heart musicality • include choice • information mining • informational collection • informational index • informative indexes • innocent Bayes • man-made intelligence • prescient framework | Invitation for human assessors | – |
| 2023 | proceeding | AIP Publishing | AIP Conference Proceedings | Design of intrusion detection system for wireless adhoc network in the detection of DOS attack using principal component analysis method comparing with an K-NN IDS | 0 | 0 | 33 | bogus positive AND false positive • exploratory outcomes AND experimental results • help vectors AND support vectors • interruption location AND intrusion detection • irregular woods AND random forest • standard mistake AND standard error • AI calculation • DDoS assault • DoS assault • Jupyter Journal • arbitrary woodland • bogus positive • bogus up-sides • choice tree • cross-approval • digital assault • disarray network • exactness accuracy~5 • exactness, review • fluffy grouping • guileless Bayes • gullible Bayes • head part examination • head part investigation • help vector regression • information mining • interruption identification frameworks • interruption recognition • neural organization • preparation information • preparation set • principal part investigation • standard blunder | Invitation for human assessors | – |
| 2024 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit) | Machine Learning Approaches to Fraud Detection in Banking Systems: A Technical Analysis | 0 | 0 | 33 | device learning AND machine learning • machine studying AND machine learning • omit price AND miss rate • system mastering AND machine learning • Machine Mastering (ML) • Wiener channel • deep studying • device gaining knowledge of algorithm • device getting to know • device mastering • device studying • dimensionality discount • effective gadget • feature choice • gadget gaining knowledge • gadget getting to know algorithm • gadget getting to know • gadget learning • gadget mastering • gadget studying • get right of entry to • getting to know algorithm • leave-out price • machine gaining knowledge • machine getting to know • machine-gaining knowledge of • machine-mastering algorithms • machines getting to know • supervised gaining knowledge • supervised mastering • supervised studying • system gaining knowledge of • system getting to know | Invitation for human assessors | – |
| 2023 | article | Auricle Technologies | International Journal on Recent and Innovation Trends in Computing and Communication | Training and Classification of PCA with LRM model for Diabetes Prediction | 1 | 0 | 32 | 10-overlap cross approval • Worldwide Meeting on • affectability, explicitness • backslide model • calculated relapse • characterization and relapse • characterization relapse~5 • choice emotionally supportive • choice tree • computerized reasoning • coronary illness • cross-approval • grouping relapse~5 • highlight extraction NOT specular • information digging • information mining • informational collection • informational index • k-implies bunching • k-implies calculation • k-implies grouping • kidney disappointment • kidney sickness • m-wellbeing • multi-facet perceptron • p esteem • pre-preparing • preparation information • preparation set • savvy phones • strategic relapse • unaided learning | Invitation for human assessors | – |
| 2022 | preprint | Research Square Platform | Research Square | Using Machine Learning Techniques to Increase Profit by Retaining Customers | 1 | 0 | 32 | bogus positive AND false positive • 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 • misleading up-side • most elevated precision • named preparing information • normal exactness • penmanship acknowledgment • preparation information • preparing information • random choice woodland • solo learning • troupe learning • unaided learning | Invitation for human assessors | – |
| 2023 | proceeding | AIP Publishing | AIP Conference Proceedings | Classification of normal and nodule lung images from LIDC-IDRI datasets using K-NN and logistic classifiers | 1 | 0 | 32 | malignant growth AND cancer • order exactness AND classification accuracy • profound learning AND deep learning • 10-overlap cross approval • AI calculation • Free Example T-test • K-closest neighbors • arrangement exactness • arrangement precision • autonomous example t-test • bogus negative FN~5 • bogus positive FP~5 • bogus positive • certainty span • choice tree • cross-approval • disarray framework • disarray network • exactness rate • genuine negative TN~5 • genuine positive TP~5 • grouping exactness • information mining • lung knob • lung knobs • man-made reasoning • measurable highlights • neural organization • profound CNN • profound autoencoder • profound neural organization • separate the highlights NOT specular | Invitation for human assessors | – |
| 2025 | proceeding | AIP Publishing | AIP Conference Proceedings | Study of various AI based security model for threat analysis in communication and IoT network | 0 | 0 | 32 | interruption location AND intrusion detection • irregular woods AND random forest • mind association AND neural network • network safety AND network security • profound learning AND deep learning • AI calculation • DDoS assault • K-closest neighbors • backslide issues • blunder rate • brilliant gadget • cerebrum network • choice tree • component extraction • computerized reasoning • distinguishing proof • fourth modern transformation • gathering and backslide • head part examination • hereditary calculation • informational index • interruption identification frameworks • interruption recognition • irregular timberland • k-implies bunching • man-made consciousness • mystery layer • picture acknowledgment • pre-preparing • recognizable proof • savvy home • secret layer | Invitation for human assessors | – |
| 2024 | article | Green Publication | Educational Administration Theory and Practice journal | Prediction Of Strength Properties Of Ternary Blended Concrete By Using Artificial Intelligence And Machine Learning Techniques | 0 | 0 | 32 | brain organization AND neural network • slope supporting AND gradient boosting • AI calculation • added substance model • administered learning • arbitrary backwoods • arrangement calculation • calculated relapse • characterization and relapse • characterization relapse~5 • computerized reasoning • dimensionality decrease • direct relapse • earlier likelihood • expectation exactness • grouping and relapse • grouping relapse~5 • head part investigation • impact heater • info information • informational collection • informational index • man-made reasoning • mean outright blunder • mean outright mistake • pre-handling • preparation dataset • preparation set • squared blunder • squared mistake • straight relapse • unaided learning | Invitation for human assessors | – |
| 2022 | article | Auricle Technologies | Mathematical Statistician and Engineering Applications | A Deep Learning Approach for Detecting Diabetic Macular Edema through Analyzing Retinal Images | 0 | 0 | 32 | brain organization AND neural network • exchange learning AND transfer learning • move learning AND transfer learning • profound learning AND deep learning • AI calculation • PC vision • accuracy and review • approval misfortune • completely associated layer • convolution brain organization • convolutional brain organization • cross-approval • exactness responsiveness explicitness~5 • extricating highlights~20 NOT specular • info layer • info picture • information picture • informational index • k-implies grouping • leave-one-out cross-approval • lingering brain organization • man-made consciousness • picture grouping • preparation dataset • preparation set • preparing and approval • preparing information • preparing pictures • prescient capacity • profound convolutional • secret layer • speculation execution | Invitation for human assessors | – |