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Jurnal: Journal of Adaptive Learning Technologies

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195 artikel ditemukan

Ethical and Legal Restraining Mechanisms in Public Administration: A Systematic Analysis

Mansurov Abdulla Sayfullayevich

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-05-11
Abstrak

Public administration plays a central role in ensuring social order, justice, and effective governance. However, without proper ethical and legal constraints, administrative systems may become prone to corruption, abuse of power, and inefficiency....

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Opportunities For Developing Students' Professional-Methodical Competences Based on an Integrative Approach in Higher Education

Sadullayeva Iroda Po`lat qizi; Ibragimova Dildora Azamat qizi

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-05-11
Abstrak

Modern supreme education in the system future of experts professional-methodical competencies formation current pedagogical from problems one This is considered of the research purpose supreme education in institutions training to the process inte...

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Optimization-Based Machine Learning Models for Credit Card Fraud Detection: A Systematic Review with Emphasis on Cuckoo Optimization Algorithm

Ban Hamed Al-miyahi; Sarah Hassan Awad Al-taee; Melad Jameel Hamoud

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-03-28
Abstrak

Detection of credit card fraud has become a major concern in the contemporary financial structures with the fast development of online payment systems and electronic transactions. Conventional methods of fraud detection are not usually very accura...

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Honeypot Technology to Control Cybercrime: A Centralized Framework for Attack Detection, Intelligence Gathering, and Network Deception

Noor R. Obeid

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-05-02
Abstrak

The dynamism of cyber crimes has made conventional security tools like firewalls and signature-based intrusion detection system (IDS) to be more and more ineffective in fighting the new and unknown threats. This paper introduces a centralized hone...

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Development of an Optimized Compressor Station Control System to Minimize Energy Consumption

Tashev Bekzod Bahodir Ugli

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-05-02
Abstrak

The article presents an intelligent control system for a compressor station (CS) based on a hybrid application of a genetic algorithm (GA) and gradient descent (GD). Two key process parameters are optimized: the compressor rotor speed (ω, rpm) and...

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From Global EdTech Adoption to AI-Driven Learning Equity: A Cross-Cultural Framework for U.S. Higher Education

Nafiz Imtiaz; Koushikur Rahman

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-03-28
Abstrak

This study examines cross-cultural patterns of educational technology (EdTech) adoption and their implications for advancing digital learning equity in U.S. higher education. Despite rapid expansion of digital learning tools, adoption outcomes var...

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Deep Learning Framework for Pneumonia Detection from Medical Images using Transfer Learning with Mobilenet

Md. Soebur Rahman; Md Ismail Hossain Siddiqui; Saeed Ur Rashid; Abdul Aziz Kabir; Farhad Uddin Mahmud; Ramisa Samin Shammah

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 1, No: 11
2024-11-15
Abstrak

Abstract: Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in regions with limited access to expert radiological assessment, highlighting the need for reliable automated diagnostic support systems. This study pr...

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Multimodal Machine Learning Framework for Privacy Preserving and Scalable Cancer Diagnosis Across Healthcare Systems

Abdul Aziz Kabir; Farhad Uddin Mahmud; Md. Soebur Rahman; Saeed Ur Rashid; Md Ismail Hossain Siddiqui; Ramisa Samin Shammah

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 1, No: 6
2024-06-15
Abstrak

Cancer remains a major global health challenge, where early risk identification plays a crucial role in improving patient outcomes and supporting clinical decision-making. This study presents a comprehensive machine learning framework for cancer p...

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Investigation of the Physicomechanical Properties of Polymer Composite Materials Based on Recycled Polyethylene Terephthalate

S. Q. Norbutayev; Sh. Kh. Tavashov

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-04-22
Abstrak

This study investigates the physico-mechanical behavior of polymer composite materials based on recycled polyethylene terephthalate (PET) modified with calcium carbonate (CaCO3) as a mineral filler. The samples were prepared in accordance with sta...

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Electrochemical Investigation of the Corrosion Inhibition Efficiency of the Supramolecular Complex Î’-Sdofda for N20 Steel

Ilyos Askarovich Eliboev; Diyorbek Qahramon o‘g‘li Jumabekov

Journal of Adaptive Learning Technologies
ISSN: 2997-3902
Vol: 3, No: 3
2026-04-19
Abstrak

This study presents the results of electrochemical investigations on the anticorrosion efficiency of the supramolecular complex beta-cyclodextrin–orthophenylenediamine (β–SDOFDA) for N20 steel. The inhibitory properties of β–SDOFDA were examined u...

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