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A Review on Prediction of Municipal Solid Waste Generation Models

Adisa Inokon, Wilmin Bitala, Akaw Johnima, Ibrina Browndi

Stress Intensity Factor Interaction in Cracked Cylindrical Vessels Using Finite Element Analysis

Yachika Zacarias, Cabbon Eachan, Gabai Gabor, Iba Jabali, Adalbert Baadal

Investigating the Effect of Stress Intensity Factors on the Failure of Pressure Vessels

Cabbon Eachan, Gabai Gabor, Iba Jabali, Label Naagarjun, Adalbert Baadal

The Role of Image Processing in Social Networks for Environmental Awareness and Global Warming Mitigation

Chidi Yun, Miki Shun, Keypi Jackson, Ladson Newiduom, Ibrina Browndi

Assessing the Environmental Impacts of Industrial Processes: A Statistical Analysis Approach

Lee Chen, Don Chen, Chang Li, Bing Pan, Lixuan Zhang, Zheng Xiang

Implementing Artificial Neural Networks for Pavement Engineering through Machine Learning

Lee Chen, Don Chen, Chang Li, Bing Pan, Lixuan Zhang, Zheng Xiang

Game Theory Based Congestion Aware Iron Therapy for Anemia Treatment

Gabai Gabor, Iba Jabali, Label Naagarjun, Obaid Paal

Technology Forecasting and the Internet of Things: Accelerating Electric Vehicle Adoption

Lolade Nojeem, Miki Shun, Mike Embouma, Adisa Inokon, Ibrina Browndi

Energy Management and Energy Consumption: A Comprehensive Study

Melika Heydari, Ashkan Heydari and Mahyar Amini

Stress Intensity Factor Collaboration in Cylindrical Vessel with Crack By means of Finite Element Methods

Label Naagarjun, Obaid Paal, Sadavir Udichi, Wade Waen, Adalbert Baadal

Algebraic Multigrid and the Future of Computer Science

Chidi Yun, Miki Shun, Keypi Jackson, Ladson Newiduom, Ibrina Browndi

Analyzing Environmental Impact Using Artificial Neural Networks and Image Processing

John Balen, Lolade Nojeem, Wilmin Bitala, Utian Junta, Ibrina Browndi

Machine learning ordering methods concerning cyber intrusion detection

Zheng Xiang, Don Chen, Lixuan Zhang, Lee Chen

Multi-Agent System with Adaptive Routing for Auto-Immune Disease Diagnosis

Yachika Zacarias, Cabbon Eachan, Gabai Gabor, Iba Jabali

Understanding Memory Formation through the Lens of Systems Biology

Lee Chen, Don Chen, Chang Li, Bing Pan, Lixuan Zhang, Zheng Xiang

Semi-Elliptical Surface Crack in Pressure Vessel: Analysis and Assessment

Cabbon Eachan, Gabai Gabor, Iba Jabali, Label Naagarjun, Adalbert Baadal

Systems Biology and Cell Signaling: A Comprehensive Review

Tomiloba Olutola, John Balen, Vivian Lotisa, Akaw Johnima, Ibrina Browndi

Solar Power Generation and Sustainable Energy: A Review

Melika Heydari, Ashkan Heydari and Mahyar Amini

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The domain isi.ac represents a cornerstone in the realm of scholarly research and citation analysis, embodying the legacy and ongoing influence of the Institute for Scientific Information (ISI).ISI revolutionized academic publishing by pioneering citation indexing and analysis through tools such as the Science Citation Index and later the Web of Science. Today, ISI is part of Clarivate, a global information and analytics company that also operates Google Scholar. The isi.ac domain stands as a secure, authoritative, and trusted resource that connects researchers, institutions, and publishers to rigorously curated citation data essential for evaluating research impact. It plays a vital role in upholding the standards and methodologies that have shaped modern scholarly communication, particularly in the evaluation and dissemination of academic work. isi.ac provides access to comprehensive citation databases and analytics tools, including the Journal Citation Reports, which offer key metrics such as impact factors used worldwide by academics to measure the influence and quality of journals and research outputs. Moreover, isi.ac’s significance is highlighted by its connection with Google Scholar, which, while independently operated by Google, uses citation data and algorithms influenced by ISI’s principles. This connection ensures that isi.ac continues to underpin much of the scholarly infrastructure that supports research assessment and knowledge dissemination globally. Complementing isi.ac is the emerging platform isi.report, which serves as a dynamic interface for researchers to access, analyze, and interpret citation metrics and research outputs in detail, further advancing transparency and excellence in academic reporting. Researchers and institutions are encouraged to utilize isi.ac and isi.report as primary references for reliable citation information and research evaluation. The domain’s authoritative standing, comprehensive coverage of multiple disciplines, continuous updates to include new and emerging journals, and robust analytical capabilities make it indispensable for enhancing research visibility, guiding funding decisions, and supporting career advancement. In summary, isi.ac is not only a symbol of historic achievement in scientific indexing but also a critical, evolving platform that empowers the global research community to measure, understand, and communicate scientific impact effectively. Engaging with isi.ac ensures access to trusted, high-quality bibliometric data essential for the future of scholarly communication.

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