Channels - MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION / :: Library Catalog

Eitemau Tebyg: MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION /

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A DEEP LEARNING-BASED STACKING APPROACH FOR SKIN ALLERGY CLASSIFICATION /
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COMPARATIVE RESULT ANALYSIS OF CAULIFLOWER DISEASE CLASSIFICATION BASED ON DEEP LEARNING APPROACH IN THE CONTEXT OF BANGLADESH /
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MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
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EXPLAINABLE DEEP LEARNING FOR AUTOMATED MULTI-CLASS DENTAL DISEASES CLASSIFICATION USING DENTAL RADIOGRAPHS /
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DETECTION OF RICE LEAF BLAST DISEASE THROUGH IMAGE PROCESSING AND MACHINE LEARNING APPROACHES /
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SKIN DISEASE DETECTION FROM IMAGES USING MACHINE LEARNING ALGORITHMS /
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STRESS CLASSIFICATION USING NEUROPHYSIOLOGICAL FEATURE THROUGH UNSUPERVISED MACHINE LEARNING TECHNIQUE /
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EXPLORING NATURAL LIFE CONSERVATION USING MACHINE LEARNING AND IOT BASED SOUND CLASSIFICATION /
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DETECTING DDOS ATTACKS USING MACHINE LEARNING & DEEP LEARNING APPROACHES WITH A COMPANION VISUALIZATION DASHBOARD /
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A MULTI-CNN FEATURE FUSION FRAMEWORK WITH CUSTOM CLASSIFICATION NETWORK FOR EFFICIENT SATELLITE IMAGE CLASSIFICATION /
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A DUAL-STAGE CNN FRAMEWORK FOR RICE LEAF DISEASE DETECTION AND CLASSIFICATION USING COLOR INTENSITY ENHANCED FEATURE EXTRACTION /
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FLOOD DETECTION AND FLOODED AREA SEGMENTATION USING ENSEMBLE MACHINE LEARNING AND DEEP LEARNING APPROACHES /
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PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /
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EXPLORING ML APPROACHES FOR FRAME-BASED WORD CLASSIFICATION USING SURFACE EMG SIGNALS /
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A DEEP LEARNING-BASED APPROACH FOR DETECTING BANGLA SPAM EMAILS /
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MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
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EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
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ENHANCING CHEST DISEASE DIAGNOSIS: ADVANCED DEEP LEARNING ARCHITECTURES FOR CHEST X-RAY ANALYSIS /
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COMPUTER AIDED SKIN DISEASE DETECTION FROM IMAGE /
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ANALYZING LOW-RESOURCE LANGUAGE FEEDBACK ACROSS INDUSTRIES: A WEB BASED TOOL WITH MULTIPARADIGM MACHINE LEARNING APPROACHES FOR CUSTOMER SATISFACTION PREDICTION /
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TOWARDS EVELOPING AN IMAGING APPLICATION TO AID PHYSICIANS ANALYZING MRI IMAGES OF BRAIN TUMOR: A MACHINE LEARNING APPROACH THROUGH COMPARATIVE ANALYSIS /
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IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
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CATARACTS PREDICTION USING MACHINE LEARNING TECHNIQUES: A BANGLADESH PERSPECTIVE /
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ENSEMBLE LEARNING IN CYBERBULLYING DETECTION USING TRANSFORMER MODELS: A MULTILINGUAL AND EXPLAINABLE AI APPROACH /

Pwnc: Computer Science and Engineering

Pwnc: This Thesis Paper of CSE in BSc Program.

Awdur: SUBRINA, UMMA SAIKA

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MEDSKIN: A MACHINE LEARNING APPROACH FOR SKIN DISEASE CLASSIFICATION /

Awdur: Supervised by Sqn Ldr Zohirul Islam