About the Journal

The Journal of Knowledge Learning and Science Technology (JKLST) is a reputable, peer-reviewed academic journal that operates on an Open Access model. The journal aims to provide a comprehensive and reliable source of information on groundbreaking discoveries and the latest advancements in various areas of the field. It welcomes original research papers, review papers, case reports, short communications, and other relevant contributions.

The review process of JKLST is rigorous and ensures the highest quality of published content. Manuscripts are reviewed by the journal's editorial board members or external experts who are knowledgeable in the respective fields. The review process involves obtaining approval from at least three independent reviewers, followed by final approval from the editor. This meticulous evaluation guarantees the validity, significance, and credibility of the published work.

The editorial team of JKLST is committed to managing the entire submission, review, revision, and publication process efficiently. They work closely with authors to ensure a smooth and timely publication experience. The journal's online platform provides unrestricted access to its content, allowing researchers and scholars from around the world to benefit from valuable insights and findings without any barriers or subscription requirements.

JKLST strives to maintain its reputation as a reliable and influential platform for disseminating knowledge and promoting scholarly discussions in the fields of knowledge acquisition, learning methodologies, and science and technology. By fostering collaboration and facilitating the exchange of ideas, the journal contributes to the advancement of the scientific community and the development of innovative solutions in these domains.

Current Issue

Vol. 3 No. 3 (2024): Exploring Ethical Dilemmas in Artificial Intelligence and Machine Learning
					View Vol. 3 No. 3 (2024): Exploring Ethical Dilemmas in Artificial Intelligence and Machine Learning

Volume 3, Issue 3 of the Journal of Knowledge Learning and Science Technology delves into the complex terrain of ethical considerations in Artificial Intelligence (AI) and Machine Learning (ML). As AI and ML applications continue to proliferate across various sectors, from healthcare to finance, questions surrounding their ethical implications become increasingly paramount. This edition aims to explore the multifaceted ethical dilemmas arising from the adoption and deployment of AI and ML technologies. Articles in this issue will scrutinize issues such as algorithmic bias and fairness, privacy concerns in data-driven decision-making, the accountability of autonomous systems, and the societal impacts of AI-driven automation. Additionally, the issue will feature contributions on the ethical responsibilities of AI developers, the regulation of AI technologies, and the ethical frameworks guiding AI research and development. Through this comprehensive examination of ethical challenges in AI and ML, the journal seeks to foster critical dialogue, raise awareness, and provide guidance for navigating the ethical complexities inherent in the advancement of AI and ML technologies. By addressing these issues, the journal endeavors to contribute to the responsible development and deployment of AI and ML systems for the betterment of society.

Published: 25-09-2024

Articles

  • THE GIG ECONOMY: CHALLENGES FOR TAX SYSTEM

    Beatrice Oyinkansola Adelakun (Author)
    1-8
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p1-8
  • REGULATING ALGORITHMIC ASSEMBLAGES: EXPLORING BEYOND CORPORATE AI ETHICS

    Islam Md.Mafiqul (Author)
    9-19
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p9-19
  • ENHANCING MACHINE LEARNING PERFORMANCE: THE ROLE OF GPU-BASED AI COMPUTE ARCHITECTURES

    Bhuvi chopra (Author)
    20-32
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p20-32
  • ROBO-ADVISORS: REVOLUTIONIZING WEALTH MANAGEMENT THROUGH THE INTEGRATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ALGORITHMIC TRADING STRATEGIES

    Han Wang, Jinxin Xu, Qishuo Cheng, Yuqiang Zhong, Lichen Qin (Author)
    33-45
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p33-45
  • TYMELINE WHITE PAPER - EXPLORING TEAM PRODUCTIVITY THROUGH THE APPLICATION OF ARTIFICIAL INTELLIGENCE AND BLOCKCHAIN TECHNOLOGY

    Shrikarnag Prahallada, Ranjitha Sridhar Rao, Lohith Dayananda Ram, Shrivatsa Bangalore Prahallada, Deepashree Abhaya (Author)
    46-52
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p46-52
  • ENHANCING FINANCIAL SERVICES THROUGH BIG DATA AND AI-DRIVEN CUSTOMER INSIGHTS AND RISK ANALYSIS

    Tianyi Yang, Qi Xin, Xiaoan Zhan, Shikai Zhuang, Huixiang Li (Author)
    53-62
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p53-62
  • RESEARCH ON SUBSTANCE ABUSE AMONG STREET CHILDREN IN SYLHET

    Ashik chandra Das, Awolad Hussain Masum , Mst.Nadira Begum, Arjun Das Ratul, Mitu Sutradhar, Murshida Akther (Author)
    63-72
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p63-72
  • LEVERAGING PREDICTIVE ANALYTICS TO OPTIMIZE SME MARKETING STRATEGIES IN THE US

    Abideen Mayowa Abdul-Yekeen, Moshood Abiola Kolawole, Bunmi Iyanda, Hassan Ayomide Abdul-Yekeen (Author)
    73-102
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p73-102
  • A STUDY ON THE LOCATION SELECTION OF LOGISTICS DISTRIBUTION CENTERS BASED ON E-COMMERCE

    Peng Zhang (Author)
    103-107
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p103-107
  • DISTRIBUTED HIGH-PERFORMANCE COMPUTING METHODS FOR ACCELERATING DEEP LEARNING TRAINING

    Shikai Wang , Haotian Zheng , Xin Wen , Fu Shang (Author)
    108-126
    DOI: https://doi.org/10.60087/jklst.v3.n3.p108-126
  • GENERATIVE AI IN HEALTHCARE: REVOLUTIONIZING DISEASE DIAGNOSIS, EXPANDING TREATMENT OPTIONS, AND ENHANCING PATIENT CARE

    Nasrullah Abbasi, Nizamullah FNU, Shah Zeb, MD Fardous (Author)
    127-138
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p127-138
  • DEVELOPING PRIVACY-PRESERVING FEDERATED LEARNING MODELS FOR COLLABORATIVE HEALTH DATA ANALYSIS ACROSS MULTIPLE INSTITUTIONS WITHOUT COMPROMISING DATA SECURITY

    Basirat Oyekan (Author)
    139-164
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p139-164
  • NEURAL PATHWAYS INVOLVED IN EMOTIONAL REGULATION AND EMOTIONAL INTELLIGENCE

    Advika Pundlik, Saloni Verma, Karan Dhingra (Author)
    165-192
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.165-192
  • THE IMPACT OF PRICING SCHEMES ON CLOUD COMPUTING AND DISTRIBUTED SYSTEMS

    Shiji Zhou , Bo Yuan, Kangming Xu, Mingxuan Zhang, Wenxuan Zheng (Author)
    193-205
    DOI: https://doi.org/10.60087/jklst.v3.n3.p206-224
  • AI-DRIVEN DRUG DISCOVERY: ACCELERATING THE DEVELOPMENT OF NOVEL THERAPEUTICS IN BIOPHARMACEUTICALS

    Decheng Huang, Mingxuan Yang, Xin Wen, Siwei Xia, Bo Yuan (Author)
    206-224
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.206-224
  • EUPHORBIA CERIFERA CERA (CANDELILA) EMOLLIENT PROPERTIES, USES AND EFFECTIVENESS IN SKINCARE PRODUCTS

    Efe Ekakitie (Author)
    225-234
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.225-234
  • OPTIMIZING INTELLIGENT EDGE COMPUTING RESOURCE SCHEDULING BASED ON FEDERATED LEARNING

    Hanzhe Li , Shiji Zhou , Bo Yuan , VMware, Beijing, China (Author)
    235-260
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.235-260
  • OPTIMAL DECISION-MAKING FOR NEWSPAPER INVENTORY: BALANCING DEMAND UNCERTAINTY AND PROFITABILITY

    Sazzad Sarker (Author)
    261-271
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.261-271
  • REVOLUTIONIZING SEMICONDUCTOR DESIGN AND MANUFACTURING WITH AI

    Prashis Raghuweanshi (Author)
    272-277
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.272-277
  • CYBERSECURITY IN HEALTHCARE: SECURING PATIENT HEALTH INFORMATION (PHI), HIPPA COMPLIANCE FRAMEWORK AND THE RESPONSIBILITIES OF HEALTHCARE PROVIDERS

    Derek A. Smith , Nasrullah Abbasi (Author)
    278-287
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.278-287
  • DEEP LEARNING MODEL FOR DETECTING TERROR FINANCING PATTERNS IN FINANCIAL TRANSACTIONS

    Prashis Raghuweanshi (Author)
    288-296
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.288-296
  • COMMIPHORA MYRRHA OIL FOR ACNE MANAGEMENT IN SKINCARE PRODUCTS

    Efe Ekakitie (Author)
    297-304
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.297-304
  • A SYSTEMATIC REVIEW OF THE EFFECTIVENESS OF TURMERIC IN THE TREATMENT OF BREAST CANCER

    Farid Asalya (Author)
    305-326
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.305-325
  • OPTIMIZING PROGRAMMATIC ADVERTISING: A MACHINE LEARNING APPROACH TO PREDICTIVE AD TARGETING

    Ankush Singhal (Author)
    327-339
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p.327-339
  • TOWARDS RESPONSIBLE AI: THE INTERSECTION OF TECHNOLOGY, SOCIETY, AND GOVERNMENT LAW

    Amit Kumar (Author)
    340-354
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p340-354
  • PREDICTIVE ANALYTICS MODELS FOR SMES TO FORECAST MARKET TRENDS, CUSTOMER BEHAVIOR, AND POTENTIAL BUSINESS RISKS

    Friday O. Ugbebor, David A. Adeteye, John O. Ugbebor (Author)
    355-381
    DOI: https://doi.org/10.60087/jklst.v3.n3.p355-381
  • EMPLOYEE CYBERSECURITY AWARENESS TRAINING PROGRAMS CUSTOMIZED FOR SME CONTEXTS TO REDUCE HUMAN-ERROR RELATED SECURITY INCIDENTS

    Friday Ugbebor, Olushola Aina, Mayowa Abass, Dare Kushanu (Author)
    382-409
    DOI: https://doi.org/10.60087/jklst.vol3.n3.p382-409
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