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57 articles for “patterns of evolution.”
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AI-Enabled Optimization of Additively Manufactured Composite Materials for Enhanced Mechanical and Thermal Performance
Abstract: This paper discusses the optimization of multi-objective optimization of enhanced coupling of heat and mechanical properties of 3D printed polymer composite materials by artificial intelligence (AI), as a component of a multi-objective optimization framework. It aims at development of nonlinear printing parameters and material properties relationships to achieve maximum tensile strength and thermal conductivity in polymer composites produced through fused deposition modeling (FDM). Short carbon fiber reinforcement was used to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 867–891 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article
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Behavioural Assessment of Muscle Development by Downregulating Different Types of Integrins in Drosophila melanogaster
Abstract: Muscles play a major role in movement and diverse activities required for survival of an organism. In Drosophila, larval crawling and peristalsis are such kinds of rhythmic movements and are driven by muscle contractions. Larval crawling involves random walk on the solid surface whereas peristalsis involves one full body wall muscle contraction from anterior to posterior or in reverse direction in fluid. Accuracy in the development of muscles is an …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 2, 2018 · pp. 55–63 Read article
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Numerical Simulation of Low Reynolds Number Incompressible Flow over Two Side-by-Side Circular Cylinders
Abstract: A second-order accurate unstructured collocated implicit finite volume method based on the primitive-variable formulation is used to study the flow field around a pair of cylinders arranged in side-by-side configuration. Numerical simulations are carried out for long time on a high-resolution mesh to obtain the appropriate evolution of the overall flow field and vortex structure of the wakes. A wide range of gaps between the cylinders is considered over a …
Published in Journal of Aerospace Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 22–51 Read article
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Dissimilar Friction Stir Welding of Precipitation Hardening Aluminium Alloys AA2024-and AA7039
Abstract: In this research, dissimilar friction stir welding of precipitation hardening aluminium alloys AA2024 and AA7039 was performed with aim to study the evolution of microstructure in dissimilar joints. AA7039 plate was kept on advancing side, whereas AA2024 plate was placed on retreating side during friction stir welding. Weld joints exhibited features typical to dissimilar friction stir welding and exhibited solid state flow pattern beside different zones. Microstructure analysis confirmed mixing …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 45–50 Read article
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Assessing the Effectiveness of Machine Learning Algorithms in Simulating Malware Detection Processes
Abstract: On the information system comprehends, computer virus attacks play a very important role and, by undermining regionally and globally, are considered one of the most critical threats. The traditional malware detection methods, more varied, being based on signature, are incapable of providing sufficient coverage over malicious programs in a short time. This is due to the speed of evolution and growing complexity of malware variants. This situation, in turn, requires …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 11–20 Read article
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Inlay Work in Interiors: From Tradition to Innovation, Materiality to Mastery
Abstract: Inlay work, an ancient decorative technique, continues to captivate and inspire within the realm of interior design. This research paper delves into the multifaceted world of inlay work, tracing its rich history, exploring its contemporary applications, and speculating on its future in interior design. The historical evolution of inlay work serves as the foundation for this exploration. From its origins in ancient civilizations such as Egypt and Mesopotamia to its …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 1, 2024 · pp. 01–12 Read article
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Evolutionary Perspective for Developing Beyond Abacus
Abstract: Currently, all over the world, teaching math means calculations, crunching numbers mentally, and solving huge number equations in the least time, and not. This research is based on bringing about a change in mathematics education by challenging the existing model of mathematics where being good at calculation or computation is treated as being good at math. In other words, mathematics is currently treated as merely a computational tool. We propose …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 3, 2022 · pp. 39–48 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Role of Generative AI in Redefining Data Analytics
Abstract: The rapid evolution of data-driven technologies has introduced both significant challenges and promising opportunities within the field of data analytics. Among the most impactful advancements is Generative Artificial Intelligence (Generative AI), a groundbreaking subset of AI that is reshaping how data is interpreted, generated, and utilized. Unlike traditional analytical tools that rely solely on existing data patterns, generative AI possesses the capability to create synthetic data, simulate complex scenarios, and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 01–07 Read article
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Understanding India’s Sustainable Land Management Research Landscape: Productivity, Collaboration, and Emerging Themes (2016–2025)
Abstract: Sustainable Land Management (SLM) has emerged as a critical research domain in India due to increasing land degradation, climate variability, population pressure, and competing land-use demands. Understanding the evolution, structure, and impact of scholarly research in this field is essential for guiding future research and policy interventions. This study presents a comprehensive scientometric assessment of India’s SLM research output during the period 2016–2025. Bibliographic data comprising 1,560 records were retrieved …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 17–27 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Enhancing Online Security: Machine Learning Methods for Phishing Detection—Literature Survey
Abstract: Phishing attacks represent a substantial online security threat as they mimic authentic websites to trick users into disclosing sensitive information. Detecting these malicious websites is crucial for safeguarding user data and maintaining digital trust. This summary provides insight into the application of machine learning methods in the identification of phishing websites. Machine learning, which falls under the umbrella of artificial intelligence, has proven to be a robust instrument for automating …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 29–34 Read article
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Genomic Characterization of Emerging Arboviruses in Rural India
Abstract: Arboviruses (arthropod-borne viruses) represent a rapidly evolving group of pathogens responsible for significant morbidity and mortality, particularly in tropical and subtropical regions. Rural India, characterized by dense vector populations, changing ecological patterns, and limited healthcare infrastructure, has become a hotspot for the emergence and re-emergence of arboviral diseases such as dengue, chikungunya, Japanese encephalitis, and more recently, Zika virus infections. Advances in genomic technologies, including next-generation sequencing (NGS), metagenomics, and …
Published in International Journal of Pathogens · Vol. 3, Issue 2, 2026 · pp. 1–8 Read article
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Cultural Geomorphological Investigation of the Area around Twelve Jyotirlinga in India
Abstract: The cultural geomorphological investigation of the area around the twelve Jyotirlinga in India presents a comprehensive scientific exploration of the geological and geomorphological aspects of these sacred sites. Originally believed to be 64 in number, the twelve Jyotirlinga represent the most revered and holy places dedicated to Lord Shiva. These temples, distributed across the Indian subcontinent, exhibit a remarkable geographical arrangement in a distinctive spiral pattern. Based on aerial positions …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 47–70 Read article
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The Review on Big Data Sharding and Replication
Abstract: AbstractSharding is a partitioning pattern that places each partition in potentially separate servers; potentially all over the world. A shard is managed by a single server. Data replication is the process of storing data in more than one site or node. It is useful in improving the availability of data. It is simply copying data from a database from one server to another server so that all the users can …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 1–10 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Overview AI-Driven Antenna Technologies and Privacy- Preserving Methods for Next-Generation 6G Wireless Systems
Abstract: The next generation of wireless communications, 6G, will be built on the convergence of artificial intelligence (AI) and advanced antenna systems. AI-driven antennas are poised to address the unprecedented requirements for data rate, reliability, adaptability, and ubiquity in future networks. An overview of current advancements in AI-enabled antenna systems for 6G networks is provided in this study. From traditional base station deployments to distributed, cell-free, and user-centric frameworks, it examines …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 28–34 Read article