Electronics and Communication Engineering


Project IDProject NameAbstract
ABTECST024 FUNEFFECTOR-PRED: IDENTIFICATION OF FUNGI EFFECTOR BY ACTIVATE LEARNING AND GENETIC ALGORITHM SAMPLING OF IMBALANCED DATADownload
ABTECST023 ANATOMOGRAPHIC VOLUMETRIC SKIN-MUSCULOSKELETAL MODEL AND ITS KINEMATIC DEFORMATION WITH SURFACE-BASED SSDDownload
ABTECST022 RECURRENT SALIENCY TRANSFORMATION NETWORK FOR TINY TARGET SEGMENTATION IN ABDOMINAL CT SCANSDownload
ABTECST021 AUTOMATIC PANCREAS SEGMENTATION VIA COARSE LOCATION AND ENSEMBLE LEARNINGDownload
ABTECST020 IN SILICO DESIGN AND EXPERIMENTAL VALIDATION OF COMBINATION THERAPY FOR PANCREATIC CANCERDownload
ABTECST019 DETECTION AND PREDICTION OF OVULATION FROM BODY TEMPERATURE MEASURED BY AN IN-EAR WEARABLE THERMOMETERDownload
ABTECST018 GRADING OF METACARPOPHALANGEAL RHEUMATOID ARTHRITIS ON ULTRASOUND IMAGES USING MACHINE LEARNING ALGORITHMSDownload
ABTECST017 CLASSIFICATION OF FOCAL AND NON-FOCAL EPILEPTIC PATIENTS USING SINGLE CHANNEL EEG AND LONG SHORT-TERM MEMORY LEARNING SYSTEMDownload
ABTECST016 THE ABNORMAL DETECTION OF ELECTROENCEPHALOGRAM WITH THREE-DIMENSIONAL DEEP CONVOLUTIONAL NEURAL NETWORKSDownload
ABTECST015 CROSS-DOMAIN MLP AND CNN TRANSFER LEARNING FOR BIOLOGICAL SIGNAL PROCESSING: EEG AND EMGDownload
ABTECST014 EEG COMPRESSION USING MOTION COMPENSATED TEMPORAL FILTERING AND WAVELET BASED SUBBAND CODINGDownload
ABTECST013 HEARABLES: AUTOMATIC OVERNIGHT SLEEP MONITORING WITH STANDARDISED IN-EAR EEG SENSORDownload
ABTECST012 AUTOMATIC PULMONARY NODULE DETECTION IN CT SCANS USING CONVOLUTIONAL NEURAL NETWORKS BASED ON MAXIMUM INTENSITY PROJECTIONDownload
ABTECST011 MULTILAYER FRACTIONAL-ORDER MACHINE VISION CLASSIFIER FOR RAPID TYPICAL LUNG DISEASES SCREENING ON DIGITAL CHEST X-RAY IMAGESDownload
ABTECST010 MULTI TASK DEEP MODEL WITH MARGIN RANKING LOSS FOR LUNG NODULE ANALYSISDownload
ABTECST009 A DEEP MODEL FOR LUNG CANCER TYPE IDENTIFICATION BY DENSELY CONNECTED CONVOLUTIONAL NETWORKS AND ADAPTIVE BOOSTINGDownload
ABTECST008 AN INCEPTION MODULE CNN CLASSIFIERS FUSION METHOD ON PULMONARY NODULE DIAGNOSIS BY SIGNSDownload
ABTECST006 DEEP LEARNING ASSISTED PREDICT OF LUNG CANCER ON COMPUTED TOMOGRAPHY IMAGES USING THE ADAPTIVE HIERARCHICAL HEURISTIC MATHEMATICAL MODELDownload
ABTECST004 DUAL KIDNEY INSPIRED ALGORITHM FOR WATER QUALITY PREDICTION AND CANCER DETECTIONDownload
ABTECST003 A MACHINE LEARNING METHODOLOGY FOR DIAGNOSING CHRONIC KIDNEY DISEASEDownload
ABTECST002 AN EMPIRICAL EVALUATION OF MACHINE LEARNING TECHNIQUES FOR CHRONIC KIDNEY DISEASE PROPHECYDownload
ABTECST001 PREDICTION OF CHRONIC KIDNEY DISEASE USING ADAPTIVE HYBRIDIZED DEEP CONVOLUTIONAL NEURAL NETWORK ON THE INTERNET OF MEDICAL THINGS PLATFORMDownload
ABTECS010 SKIN LESIONS CLASSIFICATION INTO EIGHT CLASSES FOR ISIC 2019 USING DEEP CONVOLUTIONAL NEURAL NETWORK AND TRANSFER LEARNINGDownload
ABTECS009 DEEP SEMANTIC SEGMENTATION AND MULTI-CLASS SKIN LESION CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORKDownload
ABTECS008 CLASSIFYING MELANOMA SKIN LESIONS USING CONVOLUTIONAL SPIKING NEURAL NETWORKS WITH UNSUPERVISED STDP LEARNING RULEDownload
ABTECS007 PROGRESSIVE TRANSFER LEARNING AND ADVERSARIAL DOMAIN ADAPTATION FOR CROSS-DOMAIN SKIN DISEASE CLASSIFICATIONDownload
ABTECS006 BI-DIRECTIONAL DERMOSCOPIC FEATURE LEARNING AND MULTI-SCALE CONSISTENT DECISION FUSION FOR SKIN LESION SEGMENTATIONDownload
ABTECS004 DISCRIMINATIVE FEATURE LEARNING FOR SKIN DISEASE CLASSIFICATION USING DEEP CONVOLUTIONAL NEURAL NETWORKDownload
ABTECS003 A MUTUAL BOOTSTRAPPING MODEL FOR AUTOMATED SKIN LESION SEGMENTATION AND CLASSIFICATIONDownload
ABTECS002 SKIN LESION SEGMENTATION IN DERMOSCOPIC IMAGES WITH ENSEMBLE DEEP LEARNING METHODSDownload
ABTECS001 AUTOMATIC SKIN CANCER DETECTION IN DERMOSCOPY IMAGES BASED ON ENSEMBLE LIGHTWEIGHT DEEP LEARNING NETWORKDownload
ABTECSM011 FUZZIFIED IMAGE ENHANCEMENT FOR DEEP LEARNING IN IRIS RECOGNITIONDownload
ABTECSM010 A DILATED INCEPTION NETWORK FOR VISUAL SALIENCY PREDICTIONDownload
ABTECSM009 REVERSE ATTENTION-BASED RESIDUAL NETWORK FOR SALIENT OBJECT DETECTIONDownload
ABTECSM008 ROBUST DEEP CO-SALIENCY DETECTION WITH GROUP SEMANTIC AND PYRAMID ATTENTIONDownload
ABTECSM006 A NOVEL SALIENCY DETECTION ALGORITHM BASED ON ADVERSARIAL LEARNING MODELDownload
ABTECSM007 USING DEEP LEARNING IN INFRARED IMAGES TO ENABLE HUMAN GESTURE RECOGNITION FOR AUTONOMOUS VEHICLESDownload
ABTECSM005 REMOTE-SENSING IMAGE SUPER RESOLUTION BASED ON VISUAL SALIENCY ANALYSIS AND UNEQUAL RECONSTRUCTION NETWORKSDownload
ABTECSM004 VISUAL SALIENCY DETECTION VIA KERNELIZED SUBSPACE RANKING WITH ACTIVE LEARNINGDownload
ABTECSM003 LIGHT FIELD SALIENCY DETECTION WITH DEEP CONVOLUTIONAL NETWORKSDownload
ABTECSM002 DEEPFEAT: A BOTTOM-UP AND TOP-DOWN SALIENCY MODEL BASED ON DEEP FEATURES OF CONVOLUTIONAL NEURAL NETSDownload
ABTECSM001 SALIENCY-AWARE CONVOLUTION NEURAL NETWORK FOR SHIP DETECTION IN SURVEILLANCE VIDEODownload
ABTECM012 MYOCARDIAL INFARCTION SEVERITY STAGESCLASSIFICATION FROM ECG SIGNALS USINGATTENTIONAL RECURRENT NEURAL NETWORKDownload
ABTECM013 AN EFFICIENT IOT-BASED PLATFORM FOR REMOTE REAL-TIME CARDIAC ACTIVITY MONITORINGDownload
ABTECIN016 UNSUPERVISED ONLINE VIDEO OBJECT SEGMENTATION WITH MOTION PROPERTY UNDERSTANDINGDownload
ABTECIN014 LOWER BOUND ON TRANSMISSION USING NON-LINEAR BOUNDING FUNCTION IN SINGLE IMAGE DEHAZINGDownload
ABTECIN013 HYPERSPECTRAL IMAGE RESTORATION VIA LOCAL LOW-RANK MATRIX RECOVERY AND MOREAU-ENHANCED TOTAL VARIATIONDownload
ABTECIN012 REMOVAL OF NON-GAUSSIAN JITTER NOISE FOR SHAPE FROM FOCUS THROUGH IMPROVED MAXIMUM CORRENTROPY CRITERION KALMAN FILTERDownload
ABTECIN011 RYF-NET: DEEP FUSION NETWORK FOR SINGLE IMAGEHAZE REMOVALDownload
ABTECIN009 HYPERSPECTRAL IMAGE DENOISING VIA MATRIX FACTORIZATION AND DEEP PRIOR REGULARIZATIONDownload
ABTECIN008 SIMULTANEOUS INTENSITY BIAS ESTIMATION AND STRIPE NOISE REMOVAL IN INFRARED IMAGES USING THE GLOBAL AND LOCAL SPARSITY CONSTRAINTSDownload
ABTECIN007 MIXED NOISE REMOVAL IN HYPERSPECTRAL IMAGE VIA LOW-FIBERED-RANK REGULARIZATIONDownload
ABTECIN006 A WEIGHTED FIDELITY AND REGULARIZATION BASED METHOD FOR MIXED OR UNKNOWN NOISE REMOVAL FROM IMAGES ON GRAPHSDownload
ABTECIN005 HYPERSPECTRAL MIXED NOISE REMOVAL BY l_1NORM-BASED SUBSPACE REPRESENTATIONDownload
ABTECIN004 HYPERSPECTRAL MIXED GAUSSIAN AND SPARSE NOISE REDUCTIONDownload
ABTECIN003 TWO-STAGE CONVOLUTIONAL NEURAL NETWORK FOR MEDICAL NOISE REMOVAL VIA IMAGE DECOMPOSITIONDownload
ABTECIN002 BLIND UNIVERSAL BAYESIAN IMAGE DENOISING WITH GAUSSIAN NOISE LEVEL LEARNINGDownload
ABTECIN001 VARIATIONAL BASED MIXED NOISE REMOVAL WITH CNN DEEP LEARNING REGULARIZATIONDownload
ABTECM015 QRS COMPLEX DETECTION USING NOVEL DEEP LEARNING NEURAL NETWORKSDownload
ABTECM014 ROBUST QRS DETECTION USING HIGH-RESOLUTION WAVELET PACKET DECOMPOSITION AND TIME-ATTENTION CONVOLUTIONAL NEURAL NETWORKDownload
ABTECM011 ECG HEARTBEAT CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKSDownload
ABTECM010 I-VECTOR BASED PATIENT ADAPTATION OF DEEP NEURAL NETWORKS FOR AUTOMATIC HEARTBEAT CLASSIFICATIONDownload
ABTECM009 GENERALIZATION OF CONVOLUTIONAL NEURAL NETWORKS FOR ECG CLASSIFICATION USING GENERATIVE ADVERSARIAL NETWORKSDownload
ABTECM008 AUTOMATIC EMOTION RECOGNITION BASED ON EEG AND ECG SIGNALS WHILE LISTENING TO QURANIC RECITATION COMPARED WITH LISTENING TO MUSICDownload
ABTECM007 DEEPARRNET: AN EFFICIENT DEEP CNN ARCHITECTURE FOR AUTOMATIC ARRHYTHMIA DETECTION AND CLASSIFICATION FROM DENOISED ECG BEATSDownload
ABTECM006 A FAST AND ACCURATE RECOGNITION OF ECG SIGNALS BASED ON ELM-LRF AND BLSTM ALGORITHMDownload
ABTECM004 ARRHYTHMIA RECOGNITION AND CLASSIFICATION USING COMBINED PARAMETRIC AND VISUAL PATTERN FEATURES OF ECG MORPHOLOGYDownload
ABTECM003 A NOVEL APPROACH FOR ECG-BASED HUMAN IDENTIFICATION USING SPECTRAL CORRELATION AND DEEP LEARNINGDownload
ABTECM002 IOT-ASSISTED ECG MONITORING FRAMEWORK WITH SECURE DATA TRANSMISSION FOR HEALTH CARE APPLICATIONSDownload
ABTECM001 SEPARATION OF FETAL-ECG FROM SINGLE CHANNEL ABDOMINAL ECG USING ACTIVATION SCALED NON-NEGATIVE MATRIX FACTORIZATIONDownload
ABTECD010 MULTIVARIATE REGRESSION-BASED CONVOLUTIONAL NEURAL NETWORK MODEL FOR FUNDUS IMAGE QUALITY ASSESSMENTDownload
ABTECD009 RETINAL IMAGE CLASSIFICATION BY SELF-SUPERVISED FUZZY CLUSTERING NETWORKDownload
ABTECD008 INTELLIGENT AUTOMATED DETECTION OF MICROANEURYSMS IN FUNDUS IMAGES USING FEATURE-SET TUNINGDownload
ABTECD007 SEGMENTING DIABETIC RETINOPATHY LESIONS IN MULTISPECTRAL IMAGES USING LOW-DIMENSIONAL SPATIAL-SPECTRAL MATRIX REPRESENTATIONDownload
ABTECD006 HYPER PARAMETER TUNING DEEP LEARNING FOR DIABETIC RETINOPATHY FUNDUS IMAGE CLASSIFICATIONDownload
ABTECD005 AUTOMATED BINARY AND MULTICLASS CLASSIFICATION OF DIABETIC RETINOPATHY USING HARALICK AND MULTIRE SOLUTION FEATURESDownload
ABTECD004 ACCURATE DETECTION OF NON-PROLIFERATIVE DIABETIC RETINOPATHY IN OPTICAL COHERENCE TOMOGRAPHY IMAGES USING CONVOLUTIONAL NEURAL NETWORKSDownload
ABTECD003 AUTOMATED QUANTIFICATION OF HYPER REFLECTIVE FOCI IN SD-OCT WITH DIABETIC RETINOPATHYDownload
ABTECD002 CANET: CROSS-DISEASE ATTENTION NETWORK FOR JOINT DIABETIC RETINOPATHY AND DIABETIC MACULAR EDEMA GRADINGDownload
ABTECD001 DIABETIC RETINOPATHY DETECTION USING PROGNOSIS OF MICROANEURYSM AND EARLY DIAGNOSIS SYSTEM FOR NON-PROLIFERATIVE DIABETIC RETINOPATHY BASED ON DEEP LEARNING ALGORITHMSDownload
ABTECCS013 NON-REDUNDANT OFDM RECEIVER WINDOWING FOR 5G FRAMES & BEYONDDownload
ABTECCS012 NEW RESULTS ON JOINT CHANNEL AND IMPULSIVE NOISE ESTIMATION AND TRACKING IN UNDERWATER ACOUSTIC OFDM SYSTEMSDownload
ABTECCS011 SECURITY AND ENERGY HARVESTING FOR MIMO-OFDM NETWORKSDownload
ABTECCS010 COGNITIVE RADIO NETWORK ASSISTED BY OFDM WITH INDEX MODULATIONDownload
ABTECCS009 OFDM-MIMO RADAR WITH OPTIMIZEDNON-EQUIDISTANT SUBCARRIER INTERLEAVINGDownload
ABTECCS008 LEARNING FOR DETECTION: MIMO-OFDM SYMBOL DETECTION THROUGH DOWNLINK PILOTSDownload
ABTECCS007 A STUDY ON LDM-BST-OFDM TRANSMISSION FOR THE NEXT GENERATION TERRESTRIAL BROADCASTINGDownload
ABTECCS006 OPPORTUNISTIC SPECTRUM SHARING BASED ON OFDM WITH INDEX MODULATIONDownload
ABTECCS005 SECURE OFDM SYSTEM DESIGN AND CAPACITYANALYSIS UNDER DISGUISED JAMMINGDownload
ABTECCS004 RESOURCE ALLOCATION IN F-OFDM WIRELESS NETWORKS WITH DELAY ESTIMATION USING SERVICE CURVE AND ENVELOPE PROCESSDownload
ABTECCS003 A LOW-COMPLEX SVD-BASED F-OFDMDownload
ABTECCS002 ADAPTIVELY BIASED OFDM FOR IM/DD-AIDED OPTICAL WIRELESS COMMUNICATION SYSTEMSDownload
ABTECCS001 SSVEP BASED BRAIN–COMPUTER INTERFACE CONTROLLED FUNCTIONAL ELECTRICAL STIMULATION SYSTEM FOR UPPER EXTREMITY REHABILITATIONDownload
ABTECB023 SEGMENTATION OF BREAST-REGION IN BREAST THERMOGRAM USING ARC-APPROXIMATION AND TRIANGULAR-SPACE SEARCH (BATS)Download
ABTECB022 AUTOMATIC IDENTIFICATION OF BREAST ULTRASOUND IMAGE BASED ON SUPERVISED BLOCK-BASED REGION SEGMENTATION ALGORITHM AND FEATURES COMBINATION MIGRATION DEEP LEARNING MODELDownload
ABTECB021 CHANNEL ATTENTION MODULE WITH MULTI-SCALE GRID AVERAGE POOLING FOR BREAST CANCER SEGMENTATION IN AN ULTRASOUND IMAGEDownload
ABTECB020 HETEROGENEOUS DOMAIN ADAPTATION FOR IHC CLASSIFICATION OF BREAST CANCER SUBTYPESDownload
ABTECB019 ON COMBINING BICLUSTERING MINING AND ADABOOST FOR BREAST TUMOR CLASSIFICATIONDownload
ABTECB018 BREAST CANCER: MODEL RECONSTRUCTION AND IMAGE REGISTRATION FROM SEGMENTED DEFORMED IMAGE USING VISUAL AND FORCE BASED ANALYSISDownload
ABTECB017 A SURVEY ON ANTENNA DESIGNS FOR BREAST CANCER DETECTION USING MICROWAVE IMAGINGDownload
ABTECB016 DEEP MANIFOLD PRESERVING AUTOENCODER FOR CLASSIFYING BREAST CANCER HISTOPATHOLOGICAL IMAGESDownload
ABTECB015 PARTMITOSIS: A PARTIALLY SUPERVISED DEEP LEARNING FRAMEWORK FOR MITOSIS DETECTION IN BREAST CANCER HISTOPATHOLOGY IMAGESDownload
ABTECB014 BREAST CANCER DETECTION WITH LOW-DIMENSION ORDERED ORTHOGONAL PROJECTION IN TERAHERTZ IMAGINGDownload
ABTECB013 BAYESIAN INFERENCE OF LYMPH NODE RATIO ESTIMATION AND SURVIVAL PROGNOSIS FOR BREAST CANCER PATIENTSDownload
ABTECB012 DEEP LEARNING ASSISTED EFFICIENT ADABOOST ALGORITHM FOR BREAST CANCER DETECTION AND EARLY DIAGNOSISDownload
ABTECB011 DEEPLY-SUPERVISED NETWORKS WITH THRESHOLD LOSS FOR CANCER DETECTION IN AUTOMATED BREAST ULTRASOUNDDownload
ABTECB010 COMPARISON OF BREAST MRI TUMOR CLASSIFICATION USING HUMAN-ENGINEERED RADIOMICS, TRANSFER LEARNING FROM DEEP CONVOLUTIONAL NEURAL NETWORKS, AND FUSION METHODSDownload
ABTECB009 DETECTION OF COLORECTAL CARCINOMA BASED ON MICROBIOTA ANALYSIS USING GENERALIZED REGRESSION NEURAL NETWORKS AND NONLINEAR FEATURE SELECTIONDownload
ABTECB008 A LUNG DENSE DEEP CONVOLUTION NEURAL NETWORK FOR ROBUST LUNG PARENCHYMA SEGMENTATIONDownload
ABTECB007 DUAL KIDNEY-INSPIRED ALGORITHM FOR WATER QUALITY PREDICTION AND CANCER DETECTIONDownload
ABTECB006 MSPSF: A MULTI-SCALE LOCAL INTENSITY MEASUREMENT FUNCTION FOR SEGMENTATION OF BREAST THERMOGRAMDownload
ABTECB005 MULTILAYER FRACTIONAL-ORDER MACHINE VISION CLASSIFIER FOR RAPID TYPICAL LUNG DISEASES SCREENING ON DIGITAL CHEST X-RAY IMAGESDownload
ABTECB004 ANT-BEHAVIOR INSPIRED INTELLIGENT NANO NET FOR TARGETED DRUG DELIVERY IN CANCER THERAPYDownload
ABTECB003 KNOWLEDGE-BASED ANALYSIS FOR MORTALITY PREDICTION FROM CT IMAGESDownload
ABTECB001 SEGMENTATION TECHNIQUES FOR EARLY CANCER DETECTION IN RED BLOOD CELLS WITH DEEP LEARNING BASED CLASSIFIER A COMPARATIVE APPROACHDownload
ABTECB002 RESEARCH ON RECOGNITION OF MEDICAL IMAGE DETECTION BASED ON NEURAL NETWORKDownload
ABTECBT009 EFFICIENT DCE-MRI PARAMETER AND UNCERTAINTY ESTIMATION USING A NEURAL NETWORKDownload
ABTECBT008 NEURAL SEGMENTATION OF SEEDING ROIS (SROIS) FOR PRE-SURGICAL BRAIN TRACTOGRAPHYDownload
ABTECBT007 MAGNETIC RESONANCE IMAGE SEGMENTATION BASED ON MULTI SCALE CONVOLUTIONAL NEURAL NETWORKDownload
ABTECBT006 AUTOMATED BRAIN TUMOR SEGMENTATION BASED ON MULTI PLANAR SUPERPIXEL LEVEL FEATURES EXTRACTED FROM 3D MR IMAGESDownload
ABTECBT005 ONE-PASS MULTI-TASK NETWORKS WITH CROSS-TASK GUIDED ATTENTION FOR BRAIN TUMOR SEGMENTATIONDownload
ABTECBT004 DEEP LEARNING-BASED HCNN AND CRF-RRNN MODEL FOR BRAIN TUMOR SEGMENTATIONDownload
ABTECBT003 AN ENCODER-DECODER NEURAL NETWORK WITH 3D SQUEEZE-AND-EXCITATION AND DEEP SUPERVISION FOR BRAIN TUMOR SEGMENTATIONDownload
ABTECBT002 CONVOLUTIONAL NEURAL NETWORK BASED ON COMPLEX NETWORKS FOR BRAIN TUMOR IMAGE CLASSIFICATION WITH A MODIFIED ACTIVATION FUNCTIONDownload
ABTECBT001 A DEEP LEARNING MODEL BASED ON CONCATENATION APPROACH FOR THE DIAGNOSIS OF BRAIN TUMORDownload
ABTECA021 SEPARATING THE WHEAT FROM THE CHAFF : COMPARATIVE VISUAL CUES FOR TRANSPARENT DIAGNOSTICS OF COMPETING MODELSDownload
ABTECA020 A DISEASE INDEX FOR EFFICIENTLY DETECTING WHEAT FUSARIUM HEAD BLIGHT USING SENTINEL-2 MULTISPECTRAL IMAGERYDownload
ABTECA019 VARIETAL CLASSIFICATION OF RICE SEEDS USING RGB AND HYPERSPECTRAL IMAGESDownload
ABTECA018 DEEP LEARNING-BASED OBJECT DETECTION IMPROVEMENT FOR TOMATO DISEASEDownload
ABTECA017 AUTOMATIC RECOGNITION OF SOYBEAN LEAF DISEASES USING UAV IMAGES AND DEEP CONVOLUTIONAL NEURAL NETWORKSDownload
ABTECA016 DCGAN-BASED DATA AUGMENTATION FOR TOMATO LEAF DISEASE IDENTIFICATIONDownload
ABTECA015 A DATA AUGMENTATION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORKS FOR GRAPE LEAF DISEASE IDENTIFICATIONDownload
ABTECA014 MAIZE LEAF DISEASE IDENTIFICATION BASED ON FEATURE ENHANCEMENT AND DMS-ROBUST ALEXNETDownload
ABTECA013 FB-CNN: FEATURE FUSION-BASED BILINEAR CNN FOR CLASSIFICATION OF FRUIT FLY IMAGEDownload
ABTECA012 DEEP LEARNING CLASSIFICATION FOR CROP TYPES IN NORTH DAKOTADownload
ABTECA011 GENERALIZATION OF CONVOLUTIONAL LSTM MODELS FOR CROP AREA ESTIMATIONDownload
ABTECA010 PERFORMANCE EVALUATION OF CROP SEGMENTATION ALGORITHMSDownload
ABTECA009 EFFICIENT ROBUST MODEL FITTING FOR MULTISTRUCTURE DATA USING GLOBAL GREEDY SEARCHDownload
ABTECA008 AUTOMATIC RECOGNITION OF SOYBEAN LEAF DISEASES USING UAV IMAGES AND DEEP CONVOLUTIONAL NEURAL NETWORKSDownload
ABTECA007 ESTIMATING EFFECTIVE LEAF AREA INDEX OF WINTER WHEAT USING SIMULATED OBSERVATION ON UNMANNED AERIAL VEHICLE-BASED POINT CLOUD DATADownload
ABTECA006 SYSTEM ASSESSMENT OF WUSN USING NB-IOT UAV-AIDED NETWORKS IN POTATO CROPSDownload
ABTECA005 A METHOD FOR THE ANALYSIS OF SMALL CROP FIELDS IN SENTINEL-2 DENSE TIME SERIESDownload
ABTECA004 RECOGNITION OF WEEDS IN WHEAT FIELDS BASED ON THE FUSION OF RGB IMAGES AND DEPTH IMAGESDownload
ABTECA003 A MULTI-MODAL APPROACH FOR CROP HEALTH MAPPING USING LOW ALTITUDE REMOTE SENSING, INTERNET OF THINGS (IOT) AND MACHINE LEARNINGDownload
ABTECA002 THE SMART IMAGE RECOGNITION MECHANISM FOR CROP HARVESTING SYSTEM IN INTELLIGENT AGRICULTUREDownload
ABTECA001 ENABLING PRECISION AGRICULTURE THROUGH EMBEDDED SENSING WITH ARTIFICIAL INTELLIGENCEDownload

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