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FEEDBACK NETWORK FOR IMAGE SUPER- RESOLUTION

# Project Description: Feedback Network for Image Super-Resolution Introduction Image Super-Resolution (SR) is a critical area of research within the field of computer vision, focusing on the enhancement of low-resolution…

VOICE DISORDER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK BASED ON DEEP TRANSFER LEARNING

# Project Description: Voice Disorder Classification Using Convolutional Neural Network Based on Deep Transfer Learning 1. Introduction Voice disorders can significantly impact an individual's communication abilities, quality of life, and…

IDENTIFICATION-OF-WEEDS-FROM-CROPS- USING-CONVOLUTIONAL- NEURAL-NETWORK

Project Description: Identification of Weeds from Crops Using Convolutional Neural Network #Introduction The agriculture sector faces significant challenges with weed management due to the increasing resistance of weeds to herbicides…

GREEN GREEN APPROXIMATE COMPUTING FOR NEXT GENERATION SUSTAINABILITY

Project Title: Green Green Approximate Computing for Next Generation Sustainability Project Overview: The "Green Green Approximate Computing for Next Generation Sustainability" project aims to innovate and enhance computing technologies that…

Federated Learning Based Face and Eye Blink Recognition

Project Title: Federated Learning Based Face and Eye Blink Recognition Project Description Overview: This project aims to develop a robust and privacy-preserving face and eye blink recognition system using federated…

ENHANCED SPAM COMMENT DETECTION USING MACHINE LEARNING AND DEEP LEARNING

# Project Description: Enhanced Spam Comment Detection Using Machine Learning and Deep Learning Introduction Spam comments are a persistent issue for online platforms, particularly in user-generated content sites like blogs…

Spam Classification using Recurrent Neural Networks

Project Description: Spam Classification Using Recurrent Neural Networks #Introduction In an increasingly digital world, spam emails continue to be a significant issue, affecting both personal and corporate communications. The need…

FOOD DEMAND PREDICTION USING THE NONLINEAR AUTOREGRESSIVE EXOGENOUS NEURAL NETWORK

# Project Description: Food Demand Prediction Using Nonlinear Autoregressive Exogenous Neural Network (NARX) Introduction The increasing complexity of food supply chains in today’s dynamic global market demands advanced predictive analytics…

DETECTING AND MITIGATING BOTNET ATTACKS IN SOFTWARE-DEFINED NETWORKS USING DEEP LEARNING TECHNIQUES

Project Title: Detecting and Mitigating Botnet Attacks in Software-Defined Networks Using Deep Learning Techniques #Project Overview As cyber threats continue to evolve, botnet attacks have emerged as one of the…

NEXT WORD PREDICTION USING LSTM

# Project Description: Next Word Prediction Using LSTM Overview The “Next Word Prediction Using LSTM” project aims to develop an advanced natural language processing (NLP) model that predicts the next…

IMAGE CAPTION GENERATION USING CONTEXTUAL INFORMATION FUSION WITH BI- LSTM

Project Title: Image Caption Generation using Contextual Information Fusion with Bi-LSTM #Project Overview In the contemporary landscape of artificial intelligence and deep learning, image caption generation has emerged as a…

PRINTED CIRCUIT BOARD DEFECT DETECTION METHODS BASED ON IMAGE PROCESSING, MACHINE LEARNING AND DEEP LEARNING A SURVEY

Project Title: Printed Circuit Board Defect Detection Methods Based on Image Processing, Machine Learning, and Deep Learning: A Survey #Project Description Introduction: Printed Circuit Boards (PCBs) are essential components in…

LIVER TUMOR SEGMENTATION AND DETECTION

Project Title: Liver Tumor Segmentation and Detection #Project Overview The Liver Tumor Segmentation and Detection project aims to develop a robust and accurate system for identifying and segmenting liver tumors…

PLANT LEAF DISEASE PREDICTION

Project Title: Plant Leaf Disease Prediction Using Machine Learning #Project Overview: The Plant Leaf Disease Prediction project aims to develop a robust and accurate system to identify and classify plant…

TRAFFIC SIGN BOARD RECOGNITION11

Project Description: Traffic Sign Board Recognition Project Title: Traffic Sign Board Recognition Project Overview: The Traffic Sign Board Recognition project aims to develop an advanced computer vision system capable of…

REMOTE SENSING IMAGE ANALYSIS USING DEEPLEARNING

Project Title: Remote Sensing Image Analysis Using Deep Learning #Project Overview: The increasing availability of remote sensing data has opened new horizons for various applications, including agriculture, urban planning, environmental…

DISEASE IDENTIFICATION IN IRIS CRYPTS

Project Title: Disease Identification in Iris Crypts #Project Description Introduction: The identification of diseases in the iris crypts represents a pioneering approach in the field of ophthalmology and medical diagnostics.…

POULTRY DISEASES DIAGNOSTICS MODELS USING DEEP LEARNING

Project Description: Poultry Diseases Diagnostics Models Using Deep Learning #Introduction The poultry industry plays a crucial role in global food security, providing a significant source of protein through meat and…

Deep Learning for Secure Mobile Edge Computing in Cyber- Physical Transportation Systems

# Project Description: Deep Learning for Secure Mobile Edge Computing in Cyber-Physical Transportation Systems Introduction With the rapid advancement of technology, transportation systems are evolving into complex networks of interconnected…

A Contemporary Technique for Lung Disease Prediction using Deep Learning

Project Description: A Contemporary Technique for Lung Disease Prediction Using Deep Learning #Project Overview Lung disease remains one of the leading causes of morbidity and mortality worldwide. Traditional diagnostic methods…