| HYBRID MODELS BASED ON GENETIC ALGORITHM AND DEEP LEARNING ALGORITHMS FOR NUTRITIONAL ANEMIA DISEASE CLASSIFICATION |
2021 |
BIOMEDICAL SIGNAL PROCESSING AND CONTROL |
| DIAGNOSIS AND CLASSIFICATION OF CANCER USING HYBRID MODEL BASED ON RELIEFF AND CONVOLUTIONAL NEURAL NETWORK |
2020 |
MEDICAL HYPOTHESES |
| RSIGELU: A NONLINEAR ACTIVATION FUNCTION FOR DEEP NEURAL NETWORKS |
2021 |
EXPERT SYSTEMS WITH APPLICATIONS |
| CLASSIFICATION AND DIAGNOSIS OF CERVICAL CANCER WITH STACKED AUTOENCODER AND SOFTMAX CLASSIFICATION |
2019 |
EXPERT SYSTEMS WITH APPLICATIONS |
| DIAGNOSIS AND CLASSIFICATION OF CANCER USING HYBRID MODEL BASED ON RELIEFF AND CONVOLUTIONAL NEURAL NETWORK |
2020 |
MEDICAL HYPOTHESES |
| KAF+RSIGELU: A NONLINEAR AND KERNEL-BASED ACTIVATION FUNCTION FOR DEEP NEURAL NETWORKS |
2022 |
NEURAL COMPUTING AND APPLICATIONS |
| A NOVEL NONLINEAR HYBRID HARDSRELUE ACTIVATION FUNCTION IN TRANSFER LEARNING ARCHITECTURES FOR HEMORRHAGE CLASSIFICATION |
2022 |
MULTIMEDIA TOOLS AND APPLICATIONS |
| CLASSIFICATION OF LEMON QUALITY USING HYBRID MODEL BASED ON STACKED AUTOENCODER AND CONVOLUTIONAL NEURAL NETWORK |
2023 |
EUROPEAN FOOD RESEARCH AND TECHNOLOGY |
| DETECTION AND CLASSIFICATION OF PNEUMONIA USING NOVEL SUPERIOR EXPONENTIAL (SUPEX) ACTIVATION FUNCTION IN CONVOLUTIONAL NEURAL NETWORKS |
2023 |
EXPERT SYSTEMS WITH APPLICATIONS |
| AIR POLLUTION IN MARMARA REGION BEFORE AND DURING THE COVID-19 OUTBREAK |
2023 |
ENVIRONMENTAL MONITORING AND ASSESSMENT |
| PREDICTING REFERENCE EVAPOTRANSPIRATION BASED ON HYDRO-CLIMATIC VARIABLES: COMPARISON OF DIFFERENT MACHINE LEARNING MODELS |
2023 |
HYDROLOGICAL SCIENCES JOURNAL |
| DEEP LEARNING-BASED APPROACHES FOR ROBUST CLASSIFICATION OF CERVICAL CANCER |
2023 |
NEURAL COMPUTING AND APPLICATIONS |
| AN APPLICATION ON FORECASTING FOR STOCK MARKET PRICES: HYBRID OF SOME METAHEURISTIC ALGORITHMS WITH MULTIVARIATE ADAPTIVE REGRESSION SPLINES |
2023 |
INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS |
| A COMPARATIVE ANALYSIS OF CLASSICAL MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR PREDICTING LUNG CANCER SURVIVABILITY |
2023 |
MULTIMEDIA TOOLS AND APPLICATIONS |
| IDENTIFICATION OF HAPLOID AND DIPLOID MAIZE SEEDS USING HYBRID TRANSFORMER MODEL |
2023 |
MULTIMEDIA SYSTEMS |
| ΑSECHSIG AND ΑTANHSIG: TWO NOVEL NON-MONOTONIC ACTIVATION FUNCTIONS |
2023 |
SOFT COMPUTING |
| A COMPARATIVE STUDY OF BREAD WHEAT VARIETIES IDENTIFICATION ON FEATURE EXTRACTION, FEATURE SELECTION AND MACHINE LEARNING ALGORITHMS |
2023 |
EUROPEAN FOOD RESEARCH AND TECHNOLOGY |
| IMPROVED MULTI-LAYER HYBRID ADAPTIVE PARTICLE SWARM OPTIMIZATION BASED ARTIFICIAL BEE COLONY FOR OPTIMIZING FEATURE SELECTION AND CLASSIFICATION OF MICROARRAY DATA |
2023 |
MULTIMEDIA TOOLS AND APPLICATIONS |
| IDENTIFICATION OF APPLE VARIETIES USING HYBRID TRANSFER LEARNING AND MULTI-LEVEL FEATURE EXTRACTION |
2024 |
EUROPEAN FOOD RESEARCH AND TECHNOLOGY |
| AN EFFECTIVE FEATURE EXTRACTION METHOD FOR OLIVE PEACOCK EYE LEAF DISEASE CLASSIFICATION |
2024 |
EUROPEAN FOOD RESEARCH AND TECHNOLOGY |
| CLASSIFICATION OF HAZELNUT VARIETIES BASED ON BIGTRANSFER DEEP LEARNING MODEL |
2024 |
EUROPEAN FOOD RESEARCH AND TECHNOLOGY |
| PARAMETRIC RSIGELU: A NEW TRAINABLE ACTIVATION FUNCTION FOR DEEP LEARNING |
2024 |
NEURAL COMPUTING AND APPLICATIONS |
| ADAPTIVE ARCTAN KERNEL: A GENERALIZED KERNEL FOR SUPPORT VECTOR MACHINE |
2024 |
SĀDHANĀ |
