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82 articles for “in-memory processing”
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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A Review on Manihot Esculenta Species
Abstract: Manihot esculenta, which is commonly known as Cassava, is a woody shrub that provides a high source of carbohydrate. It is an annual crop native to tropical and subtropical regions of the world. Nigeria is the largest producer of the cassava plant. The parts of the plant like leaves, roots, stems, etc are consumed in a variety of ways as they have been shown to possess activities like analgesic, anti-inflammatory …
Published in Research & Reviews : Journal of Botany Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Assistive Technology Advancements: Revolutionising Support for Individuals with Specific Learning Disabilities
Abstract: Assistive Technology (AT) has become an offer to revolutionise the provision of people with specific Learning Disabilities (SLD), making the learning process more inclusive and equal. In this paper, the current developments in AT will be discussed that cater to fundamental learning issues in reading, writing and mathematics. Text-to-speech and speech-to-text innovations, mind-mapping tools, and others are important innovations that improve reading comprehension and written expression, as well as strength …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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Samelisant, an H3 Receptor Agonist as an Anti-Alzheimer Potential – A Pilot Study on Molecular Docking
Abstract: Neurodegenerative diseases have become more prevalent and about 55 million of the population are affected by dementia globally. One of the most important neurodegenerative diseases is Alzheimer’s disease which is known for its effect on memory and cognitive impairment. Alzheimer’s disease (AD) is an area of intense scientific investigation due to its high prevalence and the lack of a definitive cure. Amyloid precursor protein plays a central role in Alzheimer’s …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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The Characteristics of Square-Well Fluid Transport Coefficients
Abstract: The transport coefficients of the hard-sphere system were first computed by Alder, providing foundational insight into the microscopic origins of viscosity, diffusion, and thermal conductivity in simple fluids. Building on this framework, Evans derived a generalized Langevin equation to describe the time evolution of dynamical variables, incorporating memory effects and non-Markovian behavior in molecular motion. These theoretical developments established a bridge between microscopic interactions and macroscopic transport properties. When an …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 3, 2025 · pp. 33–44 Read article
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Resilient Shell-Based Frameworks for Edge and IoT Systems: A Comprehensive Analysis of Lightweight Automation in Distributed Environments
Abstract: Edge computing and Internet of Things (IoT) deployments require automation solutions that minimize resource use while supporting real-time processing and intermittent connectivity. This study investigates shell-based frameworks for managing distributed edge and IoT systems, with emphasis on sensor integration, live monitoring, and fault recovery. Drawing from 200 real-world deployment cases across smart city, healthcare, and industrial domains, the analysis compares shell scripting directly against containerized approaches (e.g., Docker with lightweight …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Design of Decoder Using Domino Logic Circuit for VLSI
Abstract: Dissipation of power from a circuit is the major issue in the design of any VLSI circuit, which decreases the life span of a device/system. NMOS and PMOS circuits are very slow while switching the state from low to high. The speed of the circuit can be increased by decreasing resistance. This process in turn increases the static power dissipation. So, because of these disadvantages, CMOS circuits are used in …
Published in Journal of VLSI Design Tools and Technology Read article
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Implementation of the Tridiagonal Matrix Algorithm (TDMA) in C: A Practical Approach
Abstract: This paper presents a practical implementation of the tridiagonal matrix algorithm (TDMA), also known as the Thomas algorithm, using the C programming language. The TDMA is a commonly used algorithm for solving systems of linear equations where the coefficient matrix is tridiagonal. The paper draws a detailed step-by-step process of the algorithm’s development, from forward elimination to backward substitution, with a focus on minimizing computational difficulty compared to standard Gaussian …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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The Role of Color in Influencing Consumers
Abstract: Marketers have long used color's ability to attract customers' attention. Products with attractive packaging will definitely attract the attention of customers and differentiate themselves from other products on the shelf. Many studies have shown that color dulling can occur when the representation of color relationships is not consistent. Thus, the purpose of this study is to comprehend how color influences consumers. In order to find out the participants' preferred colors, …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 1, 2024 · pp. 39–49 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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POLYMER NANOCOMPOSITES AT THE NANOSCALE: A COMPREHENSIVE REVIEW WITH REFERENCE TO INDIAN REGULATIONS
Abstract: By combining the nanoscale reinforcements with polymer matrices, polymer nanocomposites have become one of the most promising classes of advanced materials with superior mechanical, thermal, electrical, barrier and multifunctional properties. This extensive review critically analyses the scientific advances made in polymer nanocomposites between 2000 and 2026, with focus on recent advances in polymer nanocomposite development, processing techniques, structure–property relationships and new applications. The review covers the impact of the nanofillers …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Advances in Polymer-Based Orthodontic Materials for Enhanced Treatment Efficiency
Abstract: Polymers, particularly shape-memory polymers, fiber-reinforced composites, and elastomeric materials, provide enhanced mechanical properties such as flexibility, durability, and controlled force application, leading to improved treatment outcomes. These materials offer superior biocompatibility, reducing irritation and discomfort for patients while ensuring efficient and predictable tooth movement. It is important to note one of the key advancements in orthodontics is the use of shape-memory polymers, which can respond to temperature or external stimuli, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1016–1024 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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Electrical Measurements on La-modified Four-Layered Aurivillius Ceramics
Abstract: Bismuth layered structure ferroelectric (BLSF) of Aurivillius family is found to be attractive owing to its scientific and technological point of view. These materials have potential ferroelectric applications owing to the fact of its high Curie temperature, high temperature piezo-devise and ferroelectric random access memory (FRAM), applications. In addition, Bi-modified compounds have shown improved ferroelectric properties. However, the plausible reason for improving ferroelectric properties in Bi-modified is still unclear. The …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 157–170 Read article