A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /

Tallennettuna:

Bibliografiset tiedot
Päätekijä:	Ghosh, Bijoya
Yhteisötekijä:	Supervised by Dr. Hosney Jahan (Assoc. Professor, Dept. of CSE, MIST.)
Muut tekijät:	Nazifa, Sadia Nur, Sara, Tasfia Akter
Aineistotyyppi:	Kirja
Kieli:	englanti
Julkaistu:	Dhaka : CSE DEPT. MIST, c2024.
Aiheet:	Computer Science and Engineering. This Thesis Paper of CSE in B.Sc. Program.
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia: A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /

Pikavilkaisu
MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION /
Pikavilkaisu
STACKED ATTENTION BASED DEEP LEARNING MODEL FOR VIDEO CAPTIONING IN BENGALI /
Pikavilkaisu
COMPARATIVE RESULT ANALYSIS OF CAULIFLOWER DISEASE CLASSIFICATION BASED ON DEEP LEARNING APPROACH IN THE CONTEXT OF BANGLADESH /
Pikavilkaisu
A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
Pikavilkaisu
DETECTING DDOS ATTACKS USING MACHINE LEARNING & DEEP LEARNING APPROACHES WITH A COMPANION VISUALIZATION DASHBOARD /
Pikavilkaisu
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Pikavilkaisu
FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
Pikavilkaisu
MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
Pikavilkaisu
EXPLORING ML APPROACHES FOR FRAME-BASED WORD CLASSIFICATION USING SURFACE EMG SIGNALS /
Pikavilkaisu
EXPLORING NATURAL LIFE CONSERVATION USING MACHINE LEARNING AND IOT BASED SOUND CLASSIFICATION /
Pikavilkaisu
EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
Pikavilkaisu
DEEP REINFORCEMENT LEARNING BASED OPTIMAL COMPUTATION OFFLOADING IN FOG COMPUTING ENVIRONMENT /
Pikavilkaisu
FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
Pikavilkaisu
EXAMINEE VERIFICATION SYSTEM WITH DEEP LEARNING TECHNOLOGY /
Pikavilkaisu
DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Pikavilkaisu
STRESS CLASSIFICATION USING NEUROPHYSIOLOGICAL FEATURE THROUGH UNSUPERVISED MACHINE LEARNING TECHNIQUE /
Pikavilkaisu
TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
Pikavilkaisu
EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
Pikavilkaisu
VISION TRANSFORMER-BASED DEEP LEARNING TECHNIQUES FOR IMPROPER FACE MASK-WEARING DETECTION /
Pikavilkaisu
LIVEBOX: A REAL-RIME SOCIAL DISTANCE SURVEILLANCE SYSTEM AIDED BY DEEP LEARNING /
Pikavilkaisu
MULTI-CNN STACKED FUSION FEATURE MODEL FOR IMAGE ALTERNATIVE TEXT GENERATION IN BENGALI /
Pikavilkaisu
A MULTI-CNN FEATURE FUSION FRAMEWORK WITH CUSTOM CLASSIFICATION NETWORK FOR EFFICIENT SATELLITE IMAGE CLASSIFICATION /
Pikavilkaisu
DEVELOPING A DEEP LEARNING-BASED AR SHOE TRY-ON APP WITH 3D SHOE MODELING FROM SMARTPHON IMAGES /
Pikavilkaisu
DEEP LEARNING BASED MULTIPLE OBJECT DETECTION AND DISTANCE MANAGEMENT FROM CUSTOM-BUILT DATASET WITH HETEROGENIOUS TRAFFIC /