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128 articles for “Behavioral analytics”
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Chemiluminescence: Recent Developments and Photochemical Applications in Analytical Chemistry
Abstract: Chemiluminescence (CL) is the observable production of electromagnetic radiation from a chemical reaction, typically in the form of ultraviolet, visible, or infrared light. According to subjective yield, CL has either been directly emitted from electronically excited intermediate products, or it has been supported by another molecule to emit CL. Since the 1950s, CL has been supported as a valid analytical tool, with the descriptive issued scope being limited to content …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 20–25 Read article
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Natural Language Processing in Education: A Review of Applications, Challenges, and Future Directions
Abstract: Natural Language Processing (NLP) has increasingly become a transformative force within the field of education, offering innovative solutions and reshaping traditional methods of teaching, learning, assessment, and educational research. This review explores the evolving landscape of NLP applications in education, shedding light on significant advancements, ongoing challenges, and emerging opportunities. The integration of NLP into intelligent tutoring systems has enabled more personalized learning experiences, while automated assessment tools have enhanced …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 11–18 Read article
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Performance Analysis of MEMS-based Ultrasonic Transducer with Different Membrane Materials
Abstract: Microelectromechanical systems (MEMS)-based capacitive micromachined ultrasonic transducer (CMUT) follows the reciprocity principle in the same way as piezoelectric transducers and has proven to be a good alternative to conventional piezoelectric transducers in many aspects such as sensitivity, transduction efficiency and bandwidth. CMUT transducers like piezoelectric transducers operate on resonance frequency to get possible ultrasound output, and high sensitivity in reception. The performance of the CMUT is highly affected by material …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 3, 2014 · pp. 1–9 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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A Review on the Impact of Artificial Intelligence on Cybersecurity
Abstract: When it comes to protecting against cyber threats, the use of AI is changing everything. Thanks to AI-powered technologies, organizations can now better foresee and handle potential intrusions. These solutions provide exceptional capabilities in identifying threats, monitoring in real time, and delivering predictive insights. But, with these innovations come significant hazards and difficulties, necessitating thoughtful deliberation and preventative measures. Artificial intelligence's impact on cybersecurity is explored in this article, looking …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 4, 2024 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Gear-Related Stress Analysis and Comparison Between the Fem and Agma Standards
Abstract: In many different devices, gears enable the efficient transfer of motion and torque. They are an essential component of modern mechanical power transmission systems. It has been demonstrated that bending and surface contact stresses at the gear tooth are the primary causes of gear failure, despite their widespread use. Too much stress can lead to tooth wear, pitting, or breakage, which can ultimately reduce the operating life and reliability of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 13–18 Read article
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Analytical Study of Concrete-encased Steel Column Building against Blast Load
Abstract: Study of behavior of composite building with Concrete-Encased Steel (CES) columns for blast loading is done. This is compared with the behavior of conventional building having reinforced concrete (RC) columns. In the following study, both composite and RC buildings are subjected to 0.1 ton, 0.3 ton and 0.5 ton TNT equivalent charge weight of blast load with a standoff distance of 20 m, 30 m and 40 m. To study …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 1–12 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Advanced Modeling and Static Analysis of Inverted Umbrella Roof Shell Using ANSYS
Abstract: In this objective paper, an inverted umbrella roof shell are designing and modeling for the static analysis in ANSYS (15) using finite element method. The finite element analysis is carried by using total deformation and normal stresses in longitudinal direction and on X and Y plane to determine, respectively. Responses of umbrella roof shell results are linear and quadratic variation of the membrane displacements in the inverted direction are investigated …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 31–35 Read article
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Damping Analysis of Composite Drive Shaft using Computational methods
Abstract: Drive shaft used in automotive is a critical component which comes under the influence of different types of loads in operation. Torsional loading is one of the prime causes contributing to its failure. Most of the research on drive shaft was focused on evaluating natural frequency, torsional strength, buckling torque using analytical approach and also using FEM. This project work deals with the analysis of damping behavior of E-glass/epoxy composite …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 33–38 Read article
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Damping Analysis of Composite Drive Shaft using Computational methods
Abstract: Drive shaft used in automotive is a critical component which comes under the influence of different types of loads in operation. Torsional loading is one of the prime causes contributing to its failure. Most of the research on drive shaft was focused on evaluating natural frequency, torsional strength, buckling torque using analytical approach and also using FEM. This project work deals with the analysis of damping behavior of E-glass/epoxy composite …
Published in Trends in Mechanical Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 33–38 Read article
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Use of Modern Techniques in Library and Information Centers
Abstract: The integration of modern techniques in libraries and information centers has significantly revolutionized the way information is accessed, managed, and disseminated. Advancements in technology have moved libraries beyond their traditional roles as book repositories, enabling them to serve as dynamic information hubs. Automated Library Systems (ALS) have streamlined processes such as cataloging, circulation, and acquisitions, making it easier for patrons to search and access materials Radio Frequency Identification (RFID) technology …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 57–61 Read article
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Polymer-coated Composites: Enhancing Performance in Single Electron Transistors
Abstract: The single electron transistors (SETs) have potential for ultra-low power operation and quantum coherence, and due to this it guarantees for next-generation electronics devices and quantum computing. SETs have the ability to control movement of a single electron and this unique ability allows significant advancement in the energy efficiency and device miniaturization. There are some obstacles that need to be overcome to achieve reliable and effective operation, particularly for room …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 108–114 Read article
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Mathematical Modeling of Tumor Growth and Immune System Interaction Incorporating Time Delays and Suppression Effects for Tumor Control
Abstract: Cancer growth is a complex biological process influenced by various factors, including the dynamic interaction between tumor cells and the host immune system. Mathematical modeling serves as a powerful tool to understand these interactions and predict the outcomes of different therapeutic strategies. This study presents a mathematical framework that captures the essential dynamics of tumor-immune interactions, specifically incorporating the effects of time delay and immune suppression mechanisms. Time delay accounts …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 · pp. 25–34 Read article
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Unified Mathematical Framework for Semiconductor Devices, Junction Dynamics, and Circuit Analysis
Abstract: Semiconductor devices form the fundamental building blocks of modern electronic and integrated circuit systems, where their electrical behavior is governed by coupled carrier transport, electrostatic, and circuit-level phenomena. This work presents a unified mathematical framework for modeling semiconductor devices, junction dynamics, and their interaction with electronic circuits. The formulation integrates fundamental semiconductor relations, carrier concentration, drift–diffusion transport, Poisson’s equation, continuity equations, PN-junction behavior, diode characteristics, bipolar junction transistor operation, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 37–47 Read article
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Advancements in Polymeric Capillary Materials for Chromatographic Applications
Abstract: Traditionally, glass capillaries have been the material of choice due to their inertness, transparency, and precision in delivering small sample volumes. However, glass capillaries have significant drawbacks, including fragility, limited flexibility, and difficulties in modification for specialized applications. Recent advancements in polymer chemistry have introduced novel polymeric capillary materials that offer several advantages over conventional glass capillaries. Additionally, they exhibit enhanced durability and resistance to a broad range of chemicals, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 137–144 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article
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AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article