|
| 2025 | proceeding | Institute of Electrical and Electronics Engineers (IEEE) | 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI) | Malware Detection in Internet of Things Devices Through the Utilization of Deep Sparse Autoencoders and Signal Processing Methods | 0 | 0 | 36 | bogus negative AND false negative • bogus positive AND false positive • brain organization AND neural network • genuine positive AND true positive • network safety AND network security • working framework AND operating system • 10-crease cross • PC vision • arbitrary backwoods • backing vector machine • backing vector • backwood classifier • bogus positive • bogus up-sides • choice tree • cross-approval • data gain • direct relapse • disarray framework • disarray lattice • disarray network • exactness responsiveness explicitness~5 • fake brain organization • grouping exactness • gullible Bayes • highlight extraction NOT specular • include choice • information mining • informational index • irregular backwoods • malware assault • misleading negative • more noteworthy exactness • prescient model • regular language handling • strategic relapse | Invitation for human assessors | – |
| 2025 | article | University of Kufa | Kufa Journal of Engineering | ENHANCING CYBERSECURITY THROUGH MALWARE DETECTION BASED ON MACHINE LEARNING TECHNIQUE | 0 | 0 | 36 | bogus negative AND false negative • cloud climate AND cloud computing • genuine negative AND true negative • genuine positive AND true positive • irregular woods AND random forest • slope supporting AND gradient boosting • AI calculation • Apache Flash • DDoS assault • accuracy and review • accuracy, review and f1-score • bogus up-sides • choice tree • computer-based intelligence • disarray lattice • exactness accuracy~5 • exactness, accuracy, review • exactness, accuracy, review, and F1-score • fluffy rationale • genuine positive rate • genuine up-sides • high-exactness • inclination helping • inclination supporting • information mining • irregular timberland • irregular woodland • misleading negative • misleading up-side • preparation dataset • preparing information • prescient exactness • refusal of administration • savvy city • support vector device • troupe learning | Invitation for human assessors | – |
| 2025 | proceeding | AIP Publishing | AIP Conference Proceedings | Lung cancer detection using machine learning | 0 | 0 | 35 | machine studying AND machine learning • malignant growth AND cancer • mind growth AND brain tumor • sample reputation AND pattern recognition • DDoS assault • Gabor channel • component extraction • deep gaining knowledge • deep getting to know • denial of carrier • denial of provider • device gaining knowledge of algorithm • device studying • digital assault • disarray lattice • discourse acknowledgment • distinguishing proof • figured tomography • highlight extraction NOT specular • lung most cancer • machine gaining knowledge • machine gaining • machine getting to know • machine-gaining knowledge of • machines getting to know • man-made brainpower • normal language handling • pattern reputation • picture division • pre-handling • profound brain network • remove highlights NOT specular • simulated intelligence • voice acknowledgment • world wellbeing association | 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 | – |
| 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 | – |
| 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 | – |
| 2023 | article | Inderscience Publishers | International Journal of Grid and Utility Computing | Intrusion detection and prevention with machine learning algorithms | 3 | 0 | 32 | PC organization AND computer network • bogus negative AND false negative • bogus positive AND false positive • element choice AND feature selection • organization traffic AND network traffic • preparation stage AND training stage • AI calculation • Android stage • DDoS assault • DoS assault • Linux Working Framework • SQL infusion • autocorrelation work • bogus caution • bogus positive • conveyed forswearing of administration • data and correspondence innovations • digital assault • distinguishing proof • fluffy rationale • half and half technique • hereditary calculation • hour gridlock stream • information base framework • information mining • multi-facet perceptron • navies bayes • oddity location • pre-handling • pre-preparing • review and exactness • unaided bunching | 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 | 1 | 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 | – |
| 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 | 31 | help vectors AND support vectors • non-direct AND non-straight • recurrence groups AND cepstral • regulated learning AND supervised learning • solitary layer AND neural • 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 • sign-to-commotion • time recurrence space • wavelet change | 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 | 31 | 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 • man-made reasoning • measurable highlights • neural organization • profound CNN • profound autoencoder • profound neural organization • separate the highlights NOT specular | Invitation for human assessors | – |
| 2023 | chapter | Taylor & Francis | Intelligent Systems and Applications in Computer Vision | Deep learning techniques for image captioning | 0 | 0 | 31 | brain organization AND neural network • expanded reality AND augmented reality • non-direct AND non-straight • picture acknowledgment AND image recognition • profound learning AND deep learning • result layer AND output layer • Fourier change • computer-generated reality • convolution activity • disappearing slope issue • discrete Fourier change • enactment capability • figuring asset • hand-made highlights • highlight extraction NOT specular • info picture • more prominent exactness • non-straight capability • optical stream • picture acknowledgment • picture grouping • pre-handling task • pre-handling • preparation set • preparing information • preparing pictures • profound CNN • profound brain network • registering asset • sack of words • straight capability | Invitation for human assessors | – |
| 2022 | article | – | Journal of Information Technology Management | Breast Cancer Detection based on 3-D Mammography Images using Deep Learning Strategies | 0 | 0 | 31 | back spread AND neural • bosom AND breast • malignant growth AND cancer • pre-prepared AND pre-trained • profound learning AND deep learning • K-closest neighbors • ROC bend • as pursues • bosom malignant • completely associated layer • convolutional neural arrange • convolutional neural system • credulous Bayes • cross-approval • data gain • dimensionality decrease • discriminative highlight • feature choice • informational collection • k-implies clustering • lymph hub • neural arrange • neuron yield • outspread premise work • pre-handling • preparing set • programming bundle • sack of words • spiral premise work • straight non-direct~5 • word portrayals | Invitation for human assessors | – |
| 2023 | chapter | Taylor & Francis | Artificial Intelligence Techniques in Human Resource Management | Homogenization in the Technique of Artificial Intelligence in Human Resource Management | 0 | 0 | 31 | yield layer AND neural • arrangement calculation • customary strategies • discourse acknowledgment • discourse amalgamation • discourse blend • discourse handling • discourse preparing • discourse signal • discourse synthesizer • discourse-to-message • distinguishing proof • fake neural organizations • fake neural • feeling examination • fundamental gathering • hereditary calculation • huge information • hunt engines • info layer • information mining • man-made thinking • measurable technique • molecule swarm • mystery layer • neural organization • normal language handling • programmed discourse acknowledgment • simulated intelligence • text arrangement • text-to-discourse | Invitation for human assessors | – |
| 2023 | chapter | De Gruyter | Semantic Intelligent Computing and Applications | 9 Evolutionary computation and streaming analytics machine learning with IoT for urban intelligent systems | 0 | 0 | 31 | big information AND big data • profound learning AND deep learning • yield layer AND neural • AI calculation • component extraction • concealed layer • condition of - the-workmanship • convolutionary neural networks • covered layer • enactment capacities • evaporating inclination • fluffy framework • huge information • illustrations preparing unit • info information • machine insight • man-made reasoning • mist figuring • neglect door • neural organization • populace size • pre-preparing • preparation set • profound model • profound organizations • regular language handling • secret layer • shrewd home • shrouded layer • solo learning • wellness esteem | Invitation for human assessors | – |
| 2020 | chapter | Taylor & Francis | Green Computing and Predictive Analytics for Healthcare | Big Data Analytics and K-Means Clustering | 1 | 0 | 30 | executive framework AND management system • grouping calculation AND clustering algorithm • AI calculation • Euclidean separation • bunching clustering~20 • cardiovascular breakdown • characterization relapse~5 • cross-approval • crude information • dimensionality decrease • direct blend • distinguishing proof framework • distinguishing proof • fluffy C implies • fluffy grouping • gathering of patients • huge information • information mining • information stockpiling • informational collection • informational index • k-implies calculation • k-implies clustering • k-implies grouping • leave-one-out cross-approval • man-made brainpower • man-made intelligence • order and relapse • solitary value decomposition • wavelet change | Invitation for human assessors | – |
| 2023 | proceeding | AIP Publishing | AIP Conference Proceedings | Classification and innovative detection of bone tumor using support vector machine classifier and comparison with artificial neural network classifier | 1 | 0 | 30 | help vectors AND support vectors • high-goal AND high-resolution • standard mistake AND standard error • AI calculation • Free Example T-test • attractive reverberation imaging • attractive reverberation • backing vector machine • backing vector • certainty span • cross-approval • edge esteem • ethnic gatherings • exactness esteem • example acknowledgment • fluffy induction • grouping relapse~5 • guileless Bayes • isolating hyperplane • leave-one-out cross-approval • liver sickness • neuro-fluffy • picture acknowledgment • picture division • pre-handling • preparation set • recognizable proof • surface highlights NOT specular • wavelet change • x-beam pictures | Invitation for human assessors | – |
| 2025 | chapter | Taylor & Francis | Artificial Intelligence and Machine Learning Algorithms for Engineering Applications | Introduction to AI and ML in Engineering | 0 | 0 | 30 | brain organization AND neural network • directed learning AND supervised learning • executive framework AND management system • marked information AND labeled data • picture acknowledgment AND image recognition • profound learning AND deep learning • regulated learning AND supervised learning • Intermittent Brain Organizations • PC vision • Web of Things (IoT) • backing vector machine • backing vector • brilliant lattice • computer-based intelligence • convolutional brain organization • discourse acknowledgment • gear disappointment • human-made brainpower • informational collection • intermittent brain organisations • long transient memory • man-made brainpower • normal language handling • picture acknowledgment • registering asset • research zeroed in • simulated intelligence • straight relapse • strategic relapse • unaided learning | Invitation for human assessors | – |
| 2023 | chapter | Wiley | Wireless Communication for Cybersecurity | DeepNet | 0 | 0 | 30 | back engendering AND neural • back spread AND neural • preparing dataset AND training dataset • profound learning AND deep learning • Adam enhancer • GB Slam~3 • acknowledgment framework • angle plunge • back-engendering calculation • confined Boltzmann machine • cross breed model~5 • cross-entropy misfortune • dimensionality decrease • disarray lattice • distinguishing proof • focal handling unit • half and half methodology • half breed model • huge information • misfortune capability • non-straight change • pre-handling • pre-preparing • preparation dataset • preparing information • profound brain network • profound conviction organization • profound gaining • recognizable proof • secret layer | Invitation for human assessors | – |
| 2025 | chapter | Springer Nature | Lecture Notes in Networks and Systems | Facial Emotion Recognition System for Mental Stress Detection in Students: A Kiosk-Based Approach Using Raspberry Pi | 0 | 0 | 30 | exchange learning AND transfer learning • feeling classification AND emotion classification • information expansion AND data augmentation • profound learning AND deep learning • therapeutic picture AND medical image • acknowledgment execution • acknowledgment framework • as takes after • convolutional neural arrange • convolutional neural system • discourse feeling acknowledgment • discourse investigation • discourse tests • enthusiastic state • facial feeling acknowledgment • facial highlights • feeling acknowledgment • in genuine time • information enlargement • irregular timberland • neural arrange • neural organize • profound CNN • profound convolutional • profound model • recognizable proof • recurrence space • restorative imaging • tall exactness • untrue positive | Invitation for human assessors | – |