TARU PUBLICATIONS
Author

Abdul Khader Jilani Saudagar

Information Systems Department College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University, Riyadh, 11432, Saudi Arabia

Published papers
11
Citations
4
Views
1,467
Downloads
60

Publications

11 papers
Open Access Research Article·pp. 1713–1722·Vol. 27, Issue 8Nov 2024

Comparative analysis of medical knowledge and inferential capabilities of modern LLMs

Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar

Published Online: 18 Dec 2024DOI: 10.47974/JSMS-1403

In this paper: This paper presents an evaluation of four large language models (LLMs)—GPT-4o, Claude-3.5-Sonnet, Gemini-1.5-Pro, and Llama-3.1-405B-T based on word problems that were formulated to check LLMs level o...

AbstractReferencesFull Text PDF (138 KB)Views: 97Downloads: 9Citations: 0
Open Access Research Article·pp. 1733–1741·Vol. 27, Issue 8Nov 2024

Designing a structured approach for consistency verification in AI systems for heartbeat disorder-related conversations

Muhammad Badruddin Khan, Abdul Khader Jilani Saudagar

Published Online: 18 Dec 2024DOI: 10.47974/JSMS-1402

In this paper: Large language models (LLMs) have shown mind-boggling question-answering capabilities. Most of their responses make one feel that they understand and remember context and are able to retrieve relevant...

AbstractReferencesFull Text PDF (567 KB)Views: 101Downloads: 7Citations: 0
Open Access Research Article·pp. 2101–2110·Vol. 27, Issue 7Oct 2024

A hybrid deep learning and quantum computing approach for optimized encryption algorithms in secure communications

Halah A. Al-Alshaikh, Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, Kailash Nath Tripathi

Published Online: 15 Oct 2024DOI: 10.47974/JDMSC-2083

In this paper: As online dangers get worse, there is a greater need for strong encryption methods to protect private conversations. Utilizing the strengths of both deep learning and quantum computing, this study sug...

AbstractReferencesFull Text PDF (442 KB)Views: 179Downloads: 7Citations: 0
Open Access Research Article·pp. 1449–1459·Vol. 27, Issue 6Sep 2024

Design and development of cognitive improvement through virtual reality based treatment using mathematical model

Halah A. Al-Alshaikh, Abhishek Kumar, Abdul Khader Jilani Saudagar, Ramesh Chandra Poonia

Published Online: 30 Sep 2024DOI: 10.47974/JIM-1993

In this paper: Virtual reality (VR) used in rehabilitation has the potential to enhance the quality of life for individuals with various medical conditions. As a result of this novel approach, there has been an incr...

AbstractReferencesFull Text PDF (474 KB)Views: 183Downloads: 2Citations: 2
Open Access Research Article·pp. 1045–1063·Vol. 27, Issue 5Jul 2024

Enhancing cognitive accessibility and social interaction in special education through AMLE

Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, P. Prabu, Muhammad Badruddin Khan

Published Online: 05 Aug 2024DOI: 10.47974/JSMS-1348

In this paper: The integration of Augmented Reality (AR), Virtual Reality (VR), and the Metaverse in the Learning Ecosystem represents an innovative approach to enhance educational opportunities, emotional well-bein...

AbstractReferencesFull Text PDF (841 KB)Views: 105Downloads: 6Citations: 0
Open Access Research Article·pp. 1065–1084·Vol. 27, Issue 5Jul 2024

Analyzing forecasting capabilities of GARCH models for stock prices in stochastic volatility contexts

Ramesh Chandra Poonia, Abdul Khader Jilani Saudagar, Vaibhav Bhatnagar

Published Online: 05 Aug 2024DOI: 10.47974/JSMS-1349

In this paper: Gold, a highly valued and sought-after asset, has long captured the interest of investors, financial analysts, and policymakers due to its historical significance. To predict future gold prices, this...

AbstractReferencesFull Text PDF (1.1 MB)Views: 101Downloads: 3Citations: 0
Open Access Research Article·pp. 1085–1094·Vol. 27, Issue 5Jul 2024

Implementing LSTM models for forecasting gold prices and analyzing volatility

Vaibhav Bhatnagar, Abdul Khader Jilani Saudagar, Ramesh Chandra Poonia

Published Online: 05 Aug 2024DOI: 10.47974/JSMS-1350

In this paper: Stochastic volatility analysis is a sophisticated method for forecasting gold prices, accounting for the fact that volatility which is the degree of variation in gold prices is not constant over time...

AbstractReferencesFull Text PDF (656 KB)Views: 128Downloads: 6Citations: 0
Open Access Research Article·pp. 1435–1451·Vol. 45, Issue 5Jul 2024

Advancing skill development and emotional support in special education through AMLE

Abdul Khader Jilani Saudagar, Ramesh Chandra Poonia, P. Prabu, Muhammad Badruddin Khan

Published Online: 29 Jul 2024DOI: 10.47974/JIOS-1758

In this paper: The Adaptive Metaverse Learning Ecosystem (AMLE) emerges as a transformative model in special education, outperforming existing methods in skill development, academic performance, and emotional suppor...

AbstractReferencesFull Text PDF (692 KB)Views: 109Downloads: 4Citations: 1
Open Access Research Article·pp. 1465–1475·Vol. 45, Issue 5Jul 2024

An optimization approach for real-time object detection in IoT devices through edge computing and deep learning

Ramesh Chandra Poonia, Riyad Almakki, Abdul Khader Jilani Saudagar, Abdullah Altameem, Mubarak Albathan

Published Online: 29 Jul 2024DOI: 10.47974/JIOS-1768

In this paper: Real-time protest acknowledgment in IoT gadgets is vital for numerous employments, but it can be difficult to do since they do not have a part of computing control. To bargain with these issues, this...

AbstractReferencesFull Text PDF (607 KB)Views: 109Downloads: 6Citations: 1
Open Access Research Article·pp. 1477–1486·Vol. 45, Issue 5Jul 2024

A detailed examination of LSTM networks for large-scale text generation with optimizing sequence models

Ramesh Chandra Poonia, Riyad Almakki, Abdul Khader Jilani Saudagar, Abdullah Altameem, Mubarak Albathan

Published Online: 29 Jul 2024DOI: 10.47974/JIOS-1769

In this paper: It discover long-range connections in direct information, Long Short-Term Memory (LSTM) systems have gotten to be valuable for making huge sums of content. We take a near see at LSTM systems in this t...

AbstractReferencesFull Text PDF (539 KB)Views: 142Downloads: 5Citations: 0
Open Access Research Article·pp. 983–995·Vol. 44, Issue 5Jul 2023

Utilizing behavioral deep learning models to monitoar and alert physicians regarding trauma cases

P. Prabu, Musleh Alsulami, Deafallah Alsadie, Abdul Khader Jilani Saudagar, Mohammed Alkhathami, Ramesh Chandra Poonia

Published Online: 05 Jul 2023DOI: 10.47974/JIOS-1461

In this paper: IoT-based health monitoring is crucial for addressing the rising number of trauma cases, enabling timely treatment and symptom detection. This research combines IoT and Deep Learning to efficiently de...

AbstractReferencesFull Text PDF (696 KB)Views: 213Downloads: 5Citations: 0