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Project IDProject NameAbstract
ABTECDL001 KNEE OSTEOARTHRITIS DETECTION AND CLASSIFICATION USING X-RAYS
ABTECDL002 A DEEP LEARNING ENSEMBLE WITH DATA RESAMPLING FOR CREDIT CARD FRAUD DETECTION
ABTECDL003 PATTERN RECOGNITION OF ACUTE LYMPHOBLASTIC LEUKEMIA (ALL) USING COMPUTATIONAL DEEP LEARNING
ABTECDL004 DETECTION OF REAL-TIME MALICIOUS INTRUSIONS AND ATTACKS IN IOT EMPOWERED CYBERSECURITY INFRASTRUCTURES
ABTECDL005 DEEPSKIN: A DEEP LEARNING APPROACH FOR SKIN CANCER CLASSIFICATION
ABTECDL006 DEEPCURVMRI: DEEP CONVOLUTIONAL CURVELET TRANSFORM-BASED MRI APPROACH FOR EARLY DETECTION OF ALZHEIMER’S DISEASE
ABTECDL007 A NEW METHOD FOR DIAGNOSING MOTOR BEARING FAULTS BASED ON GRAMIAN ANGULAR FIELD IMAGE CODING AND IMPROVED CNN-ELM
ABTECDL008 A STOCK PRICE PREDICTION MODEL BASED ON INVESTOR SENTIMENT AND OPTIMIZED DEEP LEARNING
ABTECDL009 DETECTION OF TOMATO LEAF DISEASES FOR AGRO-BASED INDUSTRIES USING NOVEL PCA DEEPNET
ABTECDL010 G2-RESNEXT: A NOVEL MODEL FOR ECG SIGNAL CLASSIFICATION
ABTECDL011 LIGHTWEIGHT EFFICIENTNETB3 MODEL BASED ON DEPTHWISE SEPARABLE CONVOLUTIONS FOR ENHANCING CLASSIFICATION OF LEUKEMIA WHITE BLOOD CELL IMAGES
ABTECDL012 ROLE OF ZONING IN FACIAL EXPRESSION USING DEEP LEARNING
ABTECDL013 UNSUPERVISED LEARNING COMPOSITE NETWORK TO REDUCE TRAINING COST OF DEEP LEARNING MODEL FOR COLORECTAL CANCER DIAGNOSIS
ABTECML001 LEARNING SPEECH EMOTION REPRESENTATIONS IN THE QUATERNION
ABTECML002 MACHINE LEARNING TECHNIQUES FOR SENTIMENT ANALYSIS OF COVID-19-RELATED TWITTER DATA
ABTECML003 ROBUST IOT MALWARE DETECTION AND CLASSIFICATION USING OPCODE CATEGORY FEATURES ON MACHINE LEARNING
ABTECML004 IMPACT OF NUTRITIONAL FACTORS IN BLOOD GLUCOSE PREDICTION IN TYPE 1 DIABETES THROUGH MACHINE LEARNING
ABTECML005 FRAUD DETECTION IN BANKING DATA BY MACHINE LEARNING TECHNIQUES
ABTECML006 ACTIVE LEARNING BASED ON TRANSFER LEARNING TECHNIQUES FOR TEXT CLASSIFICATION
ABTECML007 A HOLISTIC APPROACH ON AIRFARE PRICE PREDICTION USING MACHINE LEARNING TECHNIQUES
ABTECML008 A MACHINE LEARNING FRAMEWORK FOR EARLY-STAGE DETECTION OF AUTISM SPECTRUM DISORDERS
ABTECML009 DIAGNOSIS OF MALARIA USING DOUBLE HIDDEN LAYER EXTREME LEARNING MACHINE ALGORITHM WITH CNN FEATURE EXTRACTION AND PARASITE INFLATOR
ABTECML010 PREDICTING CORONARY HEART DISEASE USING AN IMPROVED LIGHTGBM MODEL: PERFORMANCE ANALYSIS AND COMPARISON
ABTECML011 FMDADM: A MULTI-LAYER DDOS ATTACK DETECTION AND MITIGATION FRAMEWORK USING MACHINE LEARNING FOR STATEFUL SDN-BASED IOT NETWORKS
ABTECBC001 BREAST CANCER CLASSIFICATION USING EQUIVARIANCE TRANSITION IN GROUP CONVOLUTIONAL NEURAL NETWORKS
ABTECBC002 MODALITY SPECIFIC CBAM-VGGNET MODEL FOR THE CLASSIFICATION OF BREAST HISTOPATHOLOGY IMAGES VIA TRANSFER LEARNING
ABTECBC003 CLASSIFICATION OF IHC IMAGES OF NATS WITH RESNET-FRP-LSTM FOR PREDICTING SURVIVAL RATES OF RECTAL CANCER PATIENTS
ABTECBC004 MOANNA: MULTI-OMICS AUTOENCODER-BASED NEURAL NETWORK ALGORITHM FOR PREDICTING BREAST CANCER SUBTYPES
ABTECBC005 GARL-NET: GRAPH BASED ADAPTIVE REGULARIZED LEARNING DEEP NETWORK FOR BREAST CANCER CLASSIFICATION
ABTECBC006 AUTOMATED MOLECULAR SUBTYPING OF BREAST CARCINOMA USING DEEP LEARNING TECHNIQUES
ABTECBC007 MULTI-INPUT DEEP LEARNING APPROACH FOR BREAST CANCER SCREENING USING THERMAL INFRARED IMAGING AND CLINICAL DATA
ABTECSC001 AN INTERPRETABLE SKIN CANCER CLASSIFICATION USING OPTIMIZED CONVOLUTIONAL NEURAL NETWORK FOR A SMART HEALTHCARE SYSTEM
ABTECSC002 DEEPSKIN: A DEEP LEARNING APPROACH FOR SKIN CANCER CLASSIFICATION
ABTECSC003 AUTOMATED MOLECULAR SUBTYPING OF BREAST CARCINOMA USING DEEP LEARNING TECHNIQUES
ABTECSC004 DIAGNOSIS OF SKIN VASCULAR COMPLICATIONS REVEALED BY TIME-FREQUENCY ANALYSIS AND LASER DOPPLER SPECTRUM DECOMPOSITION
ABTECSC005 PATTERN RECOGNITION OF ACUTE LYMPHOBLASTIC LEUKEMIA (ALL) USING COMPUTATIONAL DEEP LEARNING
ABTECSC006 SKIN MEDICAL IMAGE CAPTIONING USING MULTI-LABEL CLASSIFICATION AND SIAMESE NETWORK
ABTECBT001 A CNN-MODEL TO CLASSIFY LOW-GRADE AND HIGH-GRADE GLIOMA FROM MRI IMAGES
ABTECBT002 SEGMENTATION METHOD OF DETERMINISTIC FEATURE CLUSTERING FOR IDENTIFICATION OF BRAIN TUMOR USING MRI
ABTECBT003 GLIOMA GRADE CLASSIFICATION USING CNNS AND SEGMENTATION WITH AN ADAPTIVE APPROACH USING HISTOGRAM FEATURES IN BRAIN MRIS
ABTECBT004 LCDEIT: A LINEAR COMPLEXITY DATA-EFFICIENT IMAGE TRANSFORMER FOR MRI BRAIN TUMOR CLASSIFICATION
ABTECBT005 CROSSTRANSUNET: A NEW COMPUTATIONALLY INEXPENSIVE TUMOR SEGMENTATION MODEL FOR BRAIN MRI
ABTECBT006 PREDICTION OF SURVIVAL OF GLIOBLASTOMA PATIENTS USING LOCAL SPATIAL RELATIONSHIPS AND GLOBAL STRUCTURE AWARENESS IN FLAIR MRI BRAIN IMAGES
ABTECDR001 CLASSIFICATION OF DIABETIC RETINOPATHY DISEASE LEVELS BY EXTRACTING TOPOLOGICAL FEATURES USING GRAPH NEURAL NETWORKS
ABTECDR002 DEEP TRANSFER LEARNING STRATEGY TO DIAGNOSE EYE-RELATED CONDITIONS AND DISEASES: AN APPROACH BASED ON LOW-QUALITY FUNDUS IMAGES
ABTECDR003 INTERNET OF THINGS AND DEEP LEARNING ENABLED DIABETIC RETINOPATHY DIAGNOSIS USING RETINAL FUNDUS IMAGES
ABTECDR004 A LIGHTWEIGHT ROBUST DEEP LEARNING MODEL GAINED HIGH ACCURACY IN CLASSIFYING A WIDE RANGE OF DIABETIC RETINOPATHY IMAGES
ABTECDR005 DUAL-PATH AND MULTI-SCALE ENHANCED ATTENTION NETWORK FOR RETINAL DISEASES CLASSIFICATION USING ULTRA-WIDE-FIELD IMAGES
ABTECDR006 AN EFFICIENT AND LIGHT WEIGHT DEEP LEARNING MODEL FOR ACCURATE RETINAL VESSELS SEGMENTATION
ABTECLC001 A NOVEL FUSION MODEL OF HAND-CRAFTED FEATURES WITH DEEP CONVOLUTIONAL NEURAL NETWORKS FOR CLASSIFICATION OF SEVERAL CHEST DISEASES USING X-RAY IMAGES
ABTECLC002 A NOVEL LUNG NODULE ACCURATE SEGMENTATION OF PET-CT IMAGES BASED ON CONVOLUTIONAL NEURAL NETWORK AND GRAPH MODEL
ABTECLC003 AN IMPROVED DENSENET DEEP NEURAL NETWORK MODEL FOR TUBERCULOSIS DETECTION USING CHEST X-RAY IMAGES
ABTECLC004 LOOP RESIDUAL ATTENTION NETWORK FOR AUTOMATIC SEGMENTATION OF COVID-19 CHEST X-RAY IMAGES
ABTECLC005 SD-GAN: A STYLE DISTRIBUTION TRANSFER GENERATIVE ADVERSARIAL NETWORK FOR COVID-19 DETECTION THROUGH X-RAY IMAGES
ABTECLC006 LUNG NODULE SEGMENTATION ALGORITHM WITH SMR-UNET
ABTECLC007 ABNORMALITY DETECTION IN CHEST X-RAY VIA RESIDUAL-SALIENCY FROM NORMAL GENERATION
ABTECLC008 DEEP SURVIVAL ANALYSIS WITH CLINICAL VARIABLES FOR COVID-19
ABTECMP001 AAU-NET: AN ADAPTIVE ATTENTION U-NET FOR BREAST LESIONS SEGMENTATION IN ULTRASOUND IMAGES
ABTECMP002 DYNAMIC COMMUNITY DETECTION FOR BRAIN FUNCTIONAL NETWORKS DURING MUSIC LISTENING WITH BLOCK COMPONENT ANALYSIS
ABTECMP003 ECG MEASUREMENT SYSTEM FOR VEHICLE IMPLEMENTATION AND HEART DISEASE CLASSIFICATION USING MACHINE LEARNING
ABTECMP004 G2-RESNEXT: A NOVEL MODEL FOR ECG SIGNAL CLASSIFICATION
ABTECMP005 HOVER-TRANS: ANATOMY-AWARE HOVER-TRANSFORMER FOR ROI-FREE BREAST CANCER DIAGNOSIS IN ULTRASOUND IMAGES
ABTECMP006 LUNG NODULE SEGMENTATION ALGORITHM WITH SMR-UNET
ABTECMP007 SEMI-SUPERVISED MEDICAL IMAGE SEGMENTATION USING ADVERSARIAL CONSISTENCY LEARNING AND DYNAMIC CONVOLUTION NETWORK
ABTECMP008 PREDICTION OF CHRONIC KIDNEY DISEASE USING ADAPTIVE HYBRIDIZED DEEP CONVOLUTIONAL NEURAL NETWORK ON THE INTERNET OF MEDICAL THINGS PLATFORM
ABTECMP009 CLASSIFICATION OF LIVER FIBROSIS FROM HETEROGENEOUS ULTRASOUND IMAGE
ABTECA001 A DEEP FEATURES EXTRACTION MODEL BASED ON THE TRANSFER LEARNING MODEL AND VISION TRANSFORMER ‘‘TLMVIT’’ FOR PLANT DISEASE CLASSIFICATION
ABTECA002 A HIGH-QUALITY RICE LEAF DISEASE IMAGE DATA AUGMENTATION METHOD BASED ON A DUAL GAN
ABTECA003 A MACHINE LEARNING BASED FRAMEWORK FOR A STAGE-WISE CLASSIFICATION OF DATE PALM WHITE SCALE DISEASE
ABTECA004 CROP TYPE CLASSIFICATION BY DESIS HYPER SPECTRAL IMAGERY AND MACHINE LEARNING ALGORITHMS
ABTECA005 DEVELOPMENT OF AN ADAPTIVE LINEAR MIXTURE MODEL FOR DECOMPOSITION OF MIXED PIXELS TO IMPROVE CROP AREA ESTIMATION USING ARTIFICIAL NEURAL NETWORK
ABTECA006 ACCELERATING CROP YIELD: MULTISENSOR DATA FUSION AND MACHINE LEARNING FOR AGRICULTURE TEXT CLASSIFICATION
ABTECA007 FIELDPLANT: A DATASET OF FIELD PLANT IMAGES FOR PLANT DISEASE DETECTION AND CLASSIFICATION WITH DEEP LEARNING
ABTECA008 DETECTION OF TOMATO LEAF DISEASES FOR AGRO-BASED INDUSTRIES USING NOVEL PCA DEEPNET
ABTECA009 USING DEEP LEARNING MODEL TO IDENTIFY IRON CHLOROSIS IN PLANTS
ABTECA010 DETECTION OF APPLE PLANT DISEASES USING LEAF IMAGES THROUGH CONVOLUTIONAL NEURAL NETWORK
ABTECHS001 3D-CNN AND AUTO ENCODER-BASED GAS DETECTION IN HYPER SPECTRAL IMAGES
ABTECHS002 ANOMALY DETECTION BASED ON TREE TOPOLOGY FOR HYPERSPECTRAL IMAGES
ABTECHS003 CROP TYPE CLASSIFICATION BY DESIS HYPERSPECTRAL IMAGERY AND MACHINE LEARNING ALGORITHMS
ABTECHS004 HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON FUSION OF CONVOLUTIONAL NEURAL NETWORK AND GRAPH NETWORK
ABTECHS005 HYPERSPECTRAL IMAGE SUPERRESOLUTION VIA SUBSPACE-BASED DEEP PRIOR REGULARIZATION
ABTECHS006 IMPROVED THREE-DIMENSIONAL INCEPTION NETWORKS FOR HYPERSPECTRAL REMOTE SENSING IMAGE CLASSIFICATION
ABTECHS007 MBAHIL: DESIGN OF A MULTIMODAL HYBRID BIOINSPIRED MODEL FOR AUGMENTATION OF HYPERSPECTRAL IMAGERY VIA ITERATIVE LEARNING FOR CONTINUOUS EFFICIENCY ENHANCEMENTS
ABTECHS008 MODEL-GUIDED DEEP UNFOLDED FUSION NETWORK WITH NONLOCAL SPATIAL-SPECTRAL PRIORS FOR HYPERSPECTRAL IMAGE SUPER-RESOLUTION
ABTECHS009 MULTISCALE ADAPTIVE FUSION NETWORK FOR HYPERSPECTRAL IMAGE DENOISING
ABTECHS010 PIECEWISE WEIGHTED SMOOTHING REGULARIZATION IN TIGHT FRAMELET DOMAIN FOR HYPERSPECTRAL IMAGE RESTORATION
ABTECHS011 SPECTRALMAE: SPECTRAL MASKED AUTOENCODER FOR HYPERSPECTRAL REMOTE SENSING IMAGE RECONSTRUCTION
ABTECCB001 A DISTRIBUTED AND DECENTRALIZED CERTIFICATELESS FRAMEWORK FOR RELIABLE SHARED DATA AUDITING FOR FOG-CPS NETWORKS
ABTECCB002 A SECURE AND COST-EFFICIENT BLOCKCHAIN FACILITATED IOT SOFTWARE UPDATE FRAMEWORK
ABTECCB003 BLOCKCHAIN-BASED SERVICE-ORIENTED ARCHITECTURE FOR CONSENT MANAGEMENT, ACCESS CONTROL, AND AUDITING
ABTECCB004 ENABLING SIMULTANEOUS CONTENT REGULATION AND PRIVACY PROTECTION FOR CLOUD STORAGE IMAGE
ABTECCB005 RESOURCE MANAGEMENT AND PRICING FOR CLOUD COMPUTING BASED MOBILE BLOCKCHAIN WITH POOLING
ABTECCB006 ONLINE PERFORMANCE MODELING AND PREDICTION FOR SINGLE-VM APPLICATIONS IN MULTI-TENANT CLOUDS
ABTECCB007 TOWARD SECURE DATA COMPUTATION AND OUTSOURCE FOR MULTI-USER CLOUD-BASED IOT
ABTECCB008 ATTRIBUTE-BASED PSEUDONYMITY FOR PRIVACY-PRESERVING AUTHENTICATION IN CLOUD SERVICES
ABTECCB009 SECURING ORGANIZATION’S DATA: A ROLE-BASED AUTHORIZED KEYWORD SEARCH SCHEME WITH EFFICIENT DECRYPTION
ABTECCB010 A NOVEL DATA PLACEMENT AND RETRIEVAL SERVICE FOR COOPERATIVE EDGE CLOUDS
ABTECCB011 SECURE AND EFFICIENT DATA DEDUPLICATION IN JOINTCLOUD STORAGE
ABTECCB012 A GENERALIZED FRAMEWORK FOR PRESERVING BOTH PRIVACY AND UTILITY IN DATA OUTSOURCING
ABTECCB013 DYNAMICALLY OPTIMIZING DISPLAY ADVERTISING PROFITS UNDER DIVERSE BUDGET SETTINGS
ABTECCB014 FINGAT FINANCIAL GRAPH ATTENTION NETWORKS FOR RECOMMENDING TOP-K PROFITABLE STOCKS
ABTECCB015 MULTI-HOP REASONING QUESTION GENERATION AND ITS APPLICATION
ABTECCB016 PARTITIONCHAIN: A SCALABLE AND RELIABLE DATA STORAGE STRATEGY FOR PERMISSIONED BLOCKCHAIN
ABTECCB017 SUGGESTING ASSESS QUERIES FOR INTERACTIVE ANALYSIS OF MULTIDIMENSIONAL DATA
ABTECCB018 TWICS: LIGHTWEIGHT ENTITY MENTION DETECTION IN TARGETED TWITTER STREAMS
ABTECWD001 E-LIBRARY APPLICATION
ABTECWD002 HOSPITAL MANAGEMENT SYSTEM
ABTECWD003 SCHOOL MANAGEMENT SYSTEM
ABTECWD004 E-LEARNING APPLICATION
ABTEWDC005 ECOMMERCE APPLICATION
ABTECWD006 HEALTHCARE APPLICATION
ABTECWD007 VEHICLE SERVICE MANAGEMENT APPLICATION
ABTECWD008 EMPLOYEE MANAGEMENT SYSTEM
ABTECWD009 BLOOD BANK MANAGEMENT
ABTECWD010 HOSPITAL BED SLOT BOOKING APPLICATION
ABTECWD011 STUDENT ATTENDANCE MANAGEMENT SYSTEM
ABTECWD012 ONLINE QUIZ APP
ABTECWD013 INSURANCE MANAGEMENT APPLICATION
ABTECWD014 DIARY PRODUCT MANAGEMENT
ABTECWD015 STUDENT STUDY WEB PORTAL
ABTECMV001 REPUTATION-BASED OPPORTUNISTIC ROUTING PROTOCOL USING Q-LEARNING FOR MANET ATTACKED BY MALICIOUS NODES
ABTECMV002 A NOVEL CROSS-LAYER ADAPTIVE FUZZY-BASED AD HOC ON-DEMAND DISTANCE VECTOR ROUTING PROTOCOL FOR MANETS
ABTECMV003 GENERALIZED SECURE AND DYNAMIC DECENTRALIZED REPUTATION SYSTEM WITH A DISHONEST MAJORITY
ABTECMV004 INTELLIGENT DRIVER MODEL-BASED VEHICULAR AD HOC NETWORK COMMUNICATION IN REAL-TIME USING 5G NEW RADIO WIRELESS NETWORKS
ABTECMV005 THE PERFORMANCE ANALYSIS OF SPMA PROTOCOL IN HIGH SPEED MOBILE AD HOC NETWORK
ABTECMV006 BLOCKCHAIN-ENABLED VANET FOR SMART SOLID WASTE MANAGEMENT
ABTECMV007 CONNECTIVITY ENHANCEMENT OF E-VANET BASED ON QL-MRSU SELF-LEARNING ENERGY-SAVING ALGORITHM
ABTECMV008 EFFICIENT DATA DISSEMINATION STRATEGY FOR UAV IN UAV-ASSISTED VANETS
ABTECMV009 AN EFFICIENT APPROACH FOR THE DETECTION AND PREVENTION OF GRAY-HOLE ATTACKS IN VANETS
ABTECID001 NIDS-CNNLSTM: NETWORK INTRUSION DETECTION CLASSIFICATION MODEL BASED ON DEEP LEARNING
ABTECID002 OPTIMIZATION OF INTRUSION DETECTION USING LIKELY POINT PSO AND ENHANCED LSTM-RNN HYBRID TECHNIQUE IN COMMUNICATION NETWORKS
ABTECID003 ANDROID RANSOMWARE DETECTION FROM TRAFFIC ANALYSIS USING METAHEURISTIC FEATURE SELECTION
ABTECID004 CLOUD-BASED INTRUSION DETECTION APPROACH USING MACHINE LEARNING TECHNIQUES
ABTECID005 FMDADM: A MULTI-LAYER DDOS ATTACK DETECTION AND MITIGATION FRAMEWORK USING MACHINE LEARNING FOR STATEFUL SDN-BASED IOT NETWORKS
ABTECID006 DETECTION OF REAL-TIME MALICIOUS INTRUSIONS AND ATTACKS IN IOT EMPOWERED CYBERSECURITY INFRASTRUCTURES
ABTECVC001 HIGHLY EFFICIENT RECONFIGURABLE STATEFUL LOGIC OPERATIONS BASED ON CUI MEMRISTOR-ONLY ARRAYS PREPARED WITH A SOLUTION-BASED PROCESS
ABTECVC002 NONTRADITIONAL DESIGN OF DYNAMIC LOGICS USING FDSOI FOR ULTRA-EFFICIENT COMPUTING
ABTECVC003 SELF-ADAPTIVE GATE CONTROL FOR EFFICIENT ESCAPE FROM LOCAL MINIMUM ENERGY ON INVERTIBLE LOGIC
ABTECVC004 ROBUSTNESS ANALYSIS OF 3–2 ADDER COMPRESSOR DESIGNED IN 7-NM FINFET TECHNOLOGY
ABTECVC005 AN ADIABATIC QUANTUM-FLUX-PARAMETRON 8-BIT RIPPLE CARRY ADDER USING DELAY-LINE CLOCKING
ABTECVC006 QUATERNARY REVERSIBLE CIRCUIT OPTIMIZATION FOR SCALABLE MULTIPLEXER AND DEMULTIPLEXER
ABTECVC007 SELF-SUSTAINABLE MULTI-IRS-AIDED WIRELESS POWERED HYBRID TDMA-NOMA SYSTEM
ABTECVC008 SPECTRUM EFFICIENT RESOURCE ALLOCATION OF NOMA DOWNLINK SYSTEM WITH MMSE RECEIVER
ABTECVC009 DATA AIDED CHANNEL ESTIMATION FOR MIMO-OFDM WIRELESS SYSTEMS USING RELIABLE CARRIERS
ABTECVC010 SECOND-ORDER STATISTICS-AIDED CHANNEL ESTIMATION FOR MULTIPATH MASSIVE MIMO-OFDM SYSTEMS
ABTECVC011 MULTIUSER MASSIVE MIMO-OFDM FOR VISIBLE LIGHT COMMUNICATION SYSTEMS
ABTECVC012 RANGE-DIVISION MULTIPLEXING FOR MIMO OFDM JOINT RADAR AND COMMUNICATIONS
ABTECVC013 AUTOMATIC MODULATION CLASSIFICATION FOR ADAPTIVE OFDM SYSTEMS USING CONVOLUTIONAL NEURAL NETWORKS WITH RESIDUAL LEARNING
ABTECVC014 TOWARDS DEEP LEARNING-AIDED WIRELESS CHANNEL ESTIMATION AND CHANNEL STATE INFORMATION FEEDBACK FOR 6G
ABTECVC015 ESTIMATION OF TIME-VARYING CHANNELS IN VIRTUAL ANGULAR DOMAIN FOR MASSIVE MIMO SYSTEMS

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