PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Islam,Farabee
Körperschaften:	Supervised by Dr.Chowdhury Mofizur Rahman, Professor & Vice Chancellor,UIU
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Dhaka : CSE DEPT.MIST c2020
Schlagworte:	This thesis paper of CSE in M.Sc program Computer Science and Engineering
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge: PREDICTION OF POTATO DISEASE FROM LEAVES USING DEEP LEARNING /

Vorschau
HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
Vorschau
ISCHEMIC STROKE LESION SEGMENTATION FROM DIFFUSION-WEIGHTED MRI USING DEEP ENSEMBLE LEARNING / /
Vorschau
AN ADVERSARIAL APPROACH FOR INTRUSION DETECTION USING DEEP LEARNING /
Vorschau
DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
Vorschau
EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
Vorschau
IDENTIFICATION OF BREST TUMOR FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Vorschau
MULTI-CLASS BREAST CANCER DETECTION USING DEEP LEARNING AND QUANTUM ANNEALING-BASED HYPERPARAMETER OPTIMIZATION /
Vorschau
MULTI-CLASS KIDNEY DISEASE CLASSIFICATION FROM CT IMAGES USING EXPLAINABLE DEEP LEARNING /
Vorschau
SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
Vorschau
MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /
Vorschau
DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
Vorschau
PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS' SYMPTOM DATA AND OVARY ULTRASOUND IMAGES /
Vorschau
TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
Vorschau
DETECTION OF BRAIN TUMORS FROM MRI IMAGES USING MACHINE LEARNING APPROACHES /
Vorschau
FLOW BASED ANOMALY DETECTION IN SOFTWARE DEFINED NETWORKING: A DEEP LEARNING APPROACH WITH FEATURE SELECTION METHOD /
Vorschau
EXPLAINABLE AI BASED SOLAR IRRADIANCE PREDICTION FROM WEATHER DATA USING MACHINE LEARNING AND DEEP LEARNING WITH HYBRIDIZED CLUSTERING /
Vorschau
MACHINE LEARNING MODEL TO DETECT PNEUMONIA OF COVID-19 PATIENTS FROM CHEST X-RAY IMAGES /
Vorschau
QUESTION ANSWERING SYSTEM FROM UNSTRUCTURED DOCUMENTS FOR BANGLA LANGUAGE /
Vorschau
MACHINE LEARNING APPROACHES FOR THE DETECTION OF LUNG CANCER USING MRI IMAGES /
Vorschau
SENTIMENT ANALYSIS OF COVID-19 TWEETS USING MACHINE LEARNING TECHNIQUES /
Vorschau
BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
Vorschau
IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
Vorschau
DIABETIC RETINOPATHY STAGE DETECTION USING RETINAL FUNDUS IMAGES THROUGH ENSEMBLE LEARNING APPROACH/
Vorschau
DETECTING THE FETAL HEALTH CONDITION USING FEDERATED LEARNING APPROACH WITH INCENTIVE-BASED REWARDS SYSTEM /