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Digital Life: An Advent of Transhumanism
Traveling Salesperson Problem
Double-Stack BERT: Utilizing BERT to Extract Sentence Relation Feature for A Content-Based Filtering System
Evaluating the Utility of GAN Generated Synthetic Tabular Data for Class Balancing and Low Resource Settings
How Good are Transformers in Reordering?
Automatic Differentiation Using Dual Numbers - Use Case
On some properties of a new PoisN wavelet family
Centrality Measures based Heuristics for Perfect Awareness Problem in Social Networks
Re-examining Class Selectivity in Deep Convolutional Networks
Content Based Network Representational Learning for Movie Recommendation (CNMovieRec)
Parallel and Distributed Query Processing in Attributed Networks
Gradient Directional Predictor for Reconstructing High-Fidelity Images
We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing
We chased COVID-19; Did we forget Measles? - public discourse and sentiment analysis on spiking Measles cases using natural language processing
A Review on Designing of Memory Computing Architecture for Image Enhancement in AI Applications
An Effective Technique for Recommendation System in E-Learning by User Preferences
A Multi-modal Approach using Game Theory for Android Forensics Tool Selection
LPCD: Incremental Approach for Dynamic Networks
Clinical Abbreviation Disambiguation using clinical variants of Transformers architecture BERT
Ontological Scene Graph Engineering and Reasoning over YOLO objects for creating panoramic VR content
Incremental Classifier in the Semi Supervised Learning Environment
Alzheimer's Detection and Prediction on MRI Scans: A Comparative Study
Evaluating the Performance of Diverse Machine Learning Approaches in Stock Market Forecasting
A Blockchain-driven Framework for Issuance of NFT-based Warranty to Customers on E-commerce
Using Machine Learning Models to Predict Corporate Credit Outlook
Visualization Recommendation for Incremental Data based on Intent
Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results
Artificial Intelligence as a Service: Providing Integrity and Confidentiality
Live Bidding Application: Predicting Shill Bidding Using Machine Learning
A Novel Pixel Value Predictor Using Long Short Term Memory (LSTM) Network
EFFICIENT TRAJECTORY CLUSTERING OF MOVEMENTS OF MOVING OBJECTS
Node Cooperation Enforcement Scheme for enhancing Quality of Service in MANETs using Machine Learning Approach
Interpreting Chest X-Ray Classification Models: Insights and Complexity Measures in Deep Learning
Nuclei Segmentation Approach for Computer Aided Diagnosis
Stock Market Intraday Trading using Reinforcement Learning
Predicting the Droughts Using Artificial Neural Networks - A Case Study
Applying machine learning for portfolio switching decisions
Bark texture classification using deep transfer learning
Dynamic Twitter Topic Summarization using Speech Acts
Generative Adversarial Network for Augmenting Low-Dose CT Images
Improving Software Effort Estimation with Heterogeneous Stacked Ensemble Using SMOTER over ELM and SVR base Learners
A Deep Learning based Model to study the influence of different brain wave frequencies for the disorder of depression
Planning Strategy of BDI Agents for Crowd Simulation
Design and Development of Walking Monitoring System for Gait Analysis
Stock market Investment Strategy using: Artificial Intelligence Deep-Q-Learning Network
A survey on recent Text Summarization techniques
Conversational AI: A study on capabilities and limitations of Dialogue Based System
Co-Clustering based Methods and their Significance for Recommender Systems
Machine Learning and Fuzzy Logic based Intelligent Algorithm for Energy Efficient Routing in Wireless Sensor Networks
Sentiment Analysis of Twitter Data on "aThe Agnipath Yojana'
Pixel Value Prediction Task: Performance Comparison of Multi-Layer Perceptron and Radial Basis Function Neural Network
A Yolo-based Deep Learning Approach for Vehicle Class Classification Using CV
Rescheduling exams within the announced tenure by using Reinforcement Learning
AI Based Employee Attrition Prediction Tool
iSTIMULI: Prescriptive Stimulus Design for Eye Movement Analysis of patients with Parkinson's Disease
A Career Guidance web application based on Multi-Intelligence using Multiclass Classification Algorithm
Multi-dimensional STAQR Indexing Algorithm for Drone applications
Low Light image Illumination Adjustment using Fusion of MIRNet and Deep Illumination Curves
A HYBRID INTELLIGENT CRYPTOGRAPHY ALGORITHM FOR DISTRIBUTED BIG DATA STORAGE IN CLOUD COMPUTING SECURITY
An Ensemble Technique to Detect Stress for Young Professional
iAOI: An Eye Movement based Deep Learning Model to identify Areas of Interest
Traffic Prediction in Indian Cities from Twitter Data using Deep Learning and Word Embedding Models
Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data
Sign Language Interpretation using Deep Learning
Redefining the World of Medical Image Processing with AI - Automatic Clinical Report Generation to Support Doctors
Statistical analysis of the monthly costs of OPEC Crude oil using Machine Learning models
Conversational artificial intelligence in digital healthcare: A bibliometric analysis
Demand and Price Forecasting using Deep Learning Algorithms
Hybrid Model Using Interacted-ARIMA and ANN Models for Efficient Forecasting
Addressing Challenges in Healthcare Big Data Analytics
Assessing Reading Patterns of Learners through Eye Tracking Technology
Comparison of Deep Learning Algorithms for Early Detection of Melanoma Skin Cancer on Dermoscopic and Non-Dermoscopic Images.

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