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54 articles for “numerical patterns”
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Overview of the Relationship of Chemical Behavior to Electron Structure of Group VII Elements in the Periodic Table
Abstract: This article examines the intriguing relationship between the chemical properties and electron configurations of Group VII elements, known as halogens: fluorine (F), chlorine (Cl), bromine (Br), iodine (I), and astatine (At), which are located in the periodic table. These elements possess a common electron arrangement characterized by seven electrons in their outermost energy level. This shared arrangement is fundamental to their unique reactivity patterns. As one moves down the group, …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 2, 2025 · pp. 43–58 Read article
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Vibration Analysis of Woven Hybrid Carbon-Kevlar Composite Laminates
Abstract: Composite materials have revolutionized the field of engineering and design, providing the ability to combine two or more materials with different properties to create new materials with enhanced characteristics. The intricate process of weaving together carbon fiber and Kevlar fiber to create a 3D composite fabric is not only fascinating but also results in a beautiful, intricate pattern. Hand weaving is an art that requires precision and skill, and when …
Published in Journal of Polymer & Composites Read article
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Introduction to Biological Networks and their Contributions to Systems Biology
Abstract: Biological networks provide a conceptual framework to represent and analyze the intricate interconnections among the numerous components that make up living systems. This review paper elucidates the foundational principles of networks and their diverse applications in systems biology, highlighting their crucial role in understanding the inherent complexity of biological processes. Utilizing graph theory, these networks represent entities like genes, proteins, and metabolites as nodes, with their interactions depicted as edges. …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 53–70 Read article
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Length–Weight and Girth Relationship, Condition Factor, and Stomach Contents of Pila Ovata from Otuoke/Otuaba River, Bayelsa State, Nigeria
Abstract: Otuoke/Otuaba River situated in Otuoke, Bayelsa State, Nigeria serves numerous purposes, such as fishing, laundry, human feacal disposal, amongst others. The river is home to Pila ovata, a mollusc which serves as a special delicacy in the meals of most Bayelsan due to its high protein content. The length-weight and girth relationship, condition factor and stomach contents of P. Ovata (Apple snail) from Otuoke/Otuaba River was studied. Snail samples were …
Published in International Journal of Marine Life · Vol. 2, Issue 1, 2025 · pp. 10–17 Read article
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A Linear Regression Model Used to Analysis the Tesla Stock Price Prediction Using Machine Learning
Abstract: The stock market is a fascinating sector of the economic research. It comes in a number of varieties. Several specialists have been examining and investigating the several patterns that the stock market experiences fluctuations. Predicting the stock values of different companies using historical data has been one of the primary research projects. Stock price prediction can help people a great deal by helping them understand where and how to invest, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 8–13 Read article
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Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
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The Future is Smelling: Exploring the Potential of e-Nose
Abstract: The human sense of smell, a complex and often underestimated faculty, allows us to perceive the world through volatile organic compounds (VOCs). This ability to detect and differentiate between aromas, flavors, and even potential hazards has inspired the development of the electronic nose, or e-nose. More than just a novelty, e-noses are rapidly becoming sophisticated analytical tools with applications that span across numerous industries. By mimicking the biological processes of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 15–25 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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A Comprehensive Review on Long-term Care Policies for Intellectual and Developmental Disabilities
Abstract: Intellectual disability (ID) is a neurodevelopmental difficulty that affects both intellectual functioning and adaptive behaviour. The term IDD describes a broad range of long-term disorders that are caused by either physical or mental deficits. These disorders can influence numerous facets of life, such as self-care, social skills, communication, and education. This condition affects social and practical abilities daily. Conditions like cerebral palsy, Down syndrome, and autism spectrum disorder, Genetic predispositions, …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 36–42 Read article
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User App Segmentation for Better Understanding of Reviews and Password Resets Using Regression
Abstract: In today’s digital landscape, understanding users’ needs and behaviors is key to improving app experiences. This paper focuses on how we can better understand user reviews and password resets in mobile apps through a method called user segmentation. By dividing users into groups based on their feedback and password reset patterns, we aim to uncover insights that can enhance app design and security. Using a mix of user reviews and …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 1–9 Read article
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Role of Food Supplements in Premalignant Lesions: A Literature Review
Abstract: Premalignant lesions of the oral cavity are histopathological alterations in the oral epithelium linked to a higher likelihood of malignant transformation. These lesions frequently present as leukoplakia (white patches), erythroplakia (red patches), oral lichen planus, and oral submucous fibrosis. Oral cancer, categorized among head and neck malignancies, is considered the sixth most common cancer globally. While tobacco and alcohol consumption remain the primary etiological factors, increasing evidence underscores the significant …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 17–26 Read article
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Influence of Horizontal Crossflow on the Rayleigh-Taylor Instability: A Numerical Approach
Abstract: Rayleigh-Taylor Instability (RTI) is a typical occurrence in natural events, engineering, and industrial applications. When the lighter fluid (bottom medium) is forcing the heavier fluid (top medium) on top of the lighter fluid because of a gravitational field, then that phenomenon is called Rayleigh-Taylor instability (RTI). Despite extensive records of investigating this common phenomenon i.e., RTI with several unique boundary conditions, apparently, there are no prior investigations for the RTI …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 1–11 Read article
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Atmospheric Boundary Layer Processes: Impacts on Weather Patterns and Climate Change
Abstract: The atmospheric boundary layer (ABL) is a vital component of the Earth's climate system, acting as the interface between the terrestrial surface and the overlying atmosphere. This layer, typically extending from the surface to a height of a few hundred meters, is characterized by strong gradients in meteorological variables such as temperature, humidity, wind speed, and atmospheric pressure. Understanding the dynamics of the ABL is essential for comprehending weather phenomena, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article