MODELING OF A COMMUNICATION PROTOCOL FOR IOT BASED APPLICATIONS /

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Bibliografiska uppgifter
Huvudupphov:	Md Nurus Salam
Institutionellt upphov:	Supervised by Md Shafiul Alam Khan (Assoc. Professor, Dept. of CSE, MIST)
Materialtyp:	Bok
Språk:	engelska
Utgiven:	Dhaka : CSE DEPT. MIST, c2021.
Ämnen:	Computer Science and Engineering. This Thesis Paper of CSE in M.SC. Program.
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!

Liknande verk: MODELING OF A COMMUNICATION PROTOCOL FOR IOT BASED APPLICATIONS /

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Modelling of a Communication Protocol for IoT based Applications
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DEVELOPMENT OF AN IOT-BASED ENVIRONMENT MONITORING SYSTEM FOR AIR AND SOUND POLLUTION /
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DEVELOPMENT OF AN IOT-BASED IRRIGATION SYSTEM FOR ROOF-TOP FARMING /
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DEVELOPMENT OF AN IOT-BASED SECURE INTEGRATED COMMUNICATION FRAMEWORK FOR MILITARY ENVIRONMENT /
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DEVELOPMENT OF A DEEP LEARNING-BASED MOBILE APPLICATION TO DETECT FRESHNESS OF FRUITS /
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DEVELOPMENT OF A STROKE PREDICTION SYSTEM BASED ON IOT AND MACHINE LEARNING /
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EXTENDED THUMB IMPRESSION BASED SOFTWARE APPLICATION FOR SECURE DIGITAL IMAGE TRANSMISSION /
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DESIGN AND DEVELOPMENT OF A MULTI-CHANNEL MILITARY APPLICATION USING INTERACTIVE DIALOGUE MODEL (IDM) PROVIDING ENHANCED USABILITY /
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DEVELOPMEMENT OF A MACHINE LEARNING MODEL FOR BILLINGUAL SMS SPAM DETECTION /
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DEVELOPMENT OF AN IOT AND BLOCKCHAIN INTEGRATED VERTICAL FARMING SYSTEM /
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USABILITY AND ACCESSIBILITY ASSESSMENT OF MOBILE FINANCIAL SERVICE APPLICATIONS IN BANGLADESH /
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SENTIMENT ANALYSIS OF MULTI-REGIONAL AND MULTILINGUAL TRENDING YOUTUBR VIDEOS USING A MODIFIED DEEP LEARNING MODEL /
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EXPLORATION THE RELATIVE EFFECTIVENESS OF DESIGN METHODS TO DEVELOP USABLE E-TOURISM APPLICATIONS IN BANGLADESH /
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HYBRID AI MODEL INTEGRATING DEEP LEARNING AND FUZZY LOGIC FOR TOMATO LEAF DISEASE DETECTION AND SEVERITY ESTIMATION /
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RETINAL VESSEL SEGMENTATION USING MODIFIED U-NET MODEL /
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PERFORMANCE ANALYSIS OF PATH PLANNING ALGORITHMS FOR MOBILE ROBOT NAVIGATION BASED ON A GRAPHICAL SIMULATION PLATFORM /
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BANGLA HATE SPEECH DETECTION ON SOCIAL MEDIA USING MACHINE LEARNING MODEL/
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PRIVACY-PRESERVING EFFICIENT FEDERATED DEEP LEARNING MODEL FOR SKIN LESION CLASSIFICATION /
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DESIGN AND DEVELOPMENT OF AN ARTIFICIAL INTELLIGENCE BASED ONLINE BANKING PORTAL /
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BLOCKCHAIN BASED FRAMEWORK FOR PREVENTING MEDICINE COUNTERFEIT IN CONTEXT OF BANGLADESH /
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BROADCASTING PROTOCOL ON CLUSTER-BASED COGNITIVE RADIO AD-HOC NETWORK /
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IDENTIFICATION OF DDOS ATTACK THROUGH INTRUSION DETECTION MODEL USING ENSEMBLE MACHINE LEARNING /
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DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS /
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MACHINE LEARNING BASED SEPSIS PREDICTION FOR FOOT INFECTION IN DIABETIC PATIENTS /