Journal of Data Science and Artificial Intelligence

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The Journal of Data Science and Artificial Intelligence is the first journal of the International Society of Data Scientists, with ISSN 2831-4794, to meet the needs for publications by Data Science and AI professionals. We publish peer-reviewed articles reporting on research, development, and applications of Deep Learning and Machine Learning in various areas.

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BHINDIA BINOY

A Deterministic Extractive Framework for Evidence-Grounded Scientific Claim Verification: CRAG
- PDF (English)
Mai Tram Pham Uyen, Mai Anh Pham Uyen, The Bao Pham

Protein secondary structure prediction based on LSTM neural network approach
- PDF (English)
Linh Le

CycleGAN-Based Drunk Synthesis and Attention-Enhanced MobileNetV2 for Driver State Recognition
- PDF (English)
Linh Dinh, Julia Do, Cuong Do, Thanh Ha, Zhexu Ai

Comprehensive Business Ranking in Vietnam Utilizing Adjusted Reciprocal Rank Fusion
- PDF (English)
Duong Ha Ngo, Truong My Hoa, Luong Tan Tai, Cao Thien Chi, Tran Nhu Y

An Adaptive ROI-Based Framework for Traffic Congestion Detection in Mixed Traffic Environments Using Deep Learning
- PDF (English)
Lam Thuy Le Nhi, Dat Trinh, The Bao Pham

Modeling and Application of Explainable Artificial Intelligence for Stroke Prediction
- PDF (English)
Nga Ly Tu

Machine Learning-based RFID Reader for Power Recommendation to assist Attendance
- PDF (English)
Hai Vu Dinh

Design and Manufacturing of a Control System for a Pneumatic Robotic Arm for Training Purposes
- PDF (English)
Duc Dat, Nhan Le Thanh Pham

Skin Cancer Detection on Smartphone Images through Knowledge Distillation of Multimodal Deep Learning Models
Monsur Chowdhury, Sarangan Balasubramaniam, Saumen Mandal

Assessing HIV Mortality Trends in Relation to Prevalence and Diagnosis Rates: A Unified Approach with Machine Learning and Optimal Design
- PDF (English)

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Volume 5, No 1Beyond Algorithms: The New Era of AI

Articles

A Deterministic Extractive Framework for Evidence-Grounded Scientific Claim Verification: CRAG

Protein secondary structure prediction based on LSTM neural network approach

CycleGAN-Based Drunk Synthesis and Attention-Enhanced MobileNetV2 for Driver State Recognition

Comprehensive Business Ranking in Vietnam Utilizing Adjusted Reciprocal Rank Fusion

An Adaptive ROI-Based Framework for Traffic Congestion Detection in Mixed Traffic Environments Using Deep Learning

Modeling and Application of Explainable Artificial Intelligence for Stroke Prediction

Machine Learning-based RFID Reader for Power Recommendation to assist Attendance

Design and Manufacturing of a Control System for a Pneumatic Robotic Arm for Training Purposes

Skin Cancer Detection on Smartphone Images through Knowledge Distillation of Multimodal Deep Learning Models

Assessing HIV Mortality Trends in Relation to Prevalence and Diagnosis Rates: A Unified Approach with Machine Learning and Optimal Design