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128 articles for “self driving”
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IoT Based Self-Parking Car (Parallel Parking)
Abstract: Abstract: As fast growth in population, the problem of parking space is surplus as no. of car increases. Because of limited parking space, people have to wait in the queue to get their car parked. Parallel parking in narrow spaces is often the most tedious and annoying task for drivers. The situation becomes even harder when visibility behind the vehicle decreased because of the aerodynamic shape of a car. To …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 1, 2019 · pp. 15–19 Read article
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Fractality of Magnetospheric Dynamics: A Diffusion Entropy Approach
Abstract: There are several self-organization processes in physics such as second-order phase transitions and associated scale-invariant phenomena, structure formation in thermodynamic systems away from equilibrium, self-organization of solitons into vortices in magnetized plasma etc. Space plasmas often display very complex behavior which includes multiscale dynamics, spatio-temporal chaos and self-organized criticality. The study of self-organization in magnetospheric plasma and its relation with instabilities is a subject at the forefront of space research …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 44–53 Read article
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Smartphone-Controlled IoT Robot for Safety and Automation
Abstract: Robotics Automation is a field that's growing fast. Industrial robots are being used a lot in different parts of the world recently. They are becoming more and more popular because they help make things faster, work well in many situations, and make money. In this project, we want to make a special robot that you can control with your Smartphone. It can do many different tasks and is strong and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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Sensors-Based Electric Machine Design for Industry
Abstract: The integration of advanced sensors is fundamentally changing the economics and reliability of electric machines. It moves design focus from minimizing material cost and adhering to conservative standards toward maximizing operational availability and energy efficiency. In the industry of tomorrow, the electric motor will not be a passive collection of coils and steel, but a self-diagnosing, self-optimizing, and perhaps even self-healing asset—a sentient motor—driven by its highly refined sixth sense, …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Autopoiesies Aspects on Agile Software Development Teams
Abstract: Self-organizing teams have been recognized and studied in various forms. The brief history of self-organizing teams and their recent popularity with agile method warrants some amount of research in this paper within software engineering. In particular; there is an increased interest in research on agile software development teams. In dearth of research on self-organizing in agile teams, this paper shows; how agile teams organize themselves. This paper presents results of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 1–3 Read article
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Self-Healing Structural Polymer Composites Incorporating Bio-Inspired Nanofillers
Abstract: Self-healing polymer composites become an attractive family of intelligent materials that are capable of autonomously repairing damage, which will enhance their durability, reliability and service life in extreme engineering applications. The materials are based on the principles of nature, using the nanofillers that are derived from biological systems to improve mechanical properties and self-healing capabilities by utilizing hierarchical structures and multifunctional interface interactions. The recent developments on the formulation of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Tagore’s Educational Philosophy in Modern India
Abstract: Rabindranath Tagore accepted that the point of education is self-acknowledgment. He himself was a writer and a holy person, who had, through his creative mind and understanding, understood the all-inclusive soul in himself and in nature. He accepted that this acknowledgment was the objective of education. Since the general soul is the foundation of our own spirit, man s point in life is to arrive at that general soul of …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 10, Issue 1, 2020 · pp. 5–12 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Measuring Factors that Influence the Success of App based Mobile Commerce
Abstract: The usage of smart phone significantly increased from 2007 onwards after Google and Apple has launched their respective Android and iOS Mobile Operating System. With advancement in the network technology, internet connection speed, slash in the mobile phone connection operator tariff, location based service, user friendly multitouch interface, large screen size multi giga bytes of RAM and storage, and much more the usage of smart phone has been reached to …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Artificial Intelligence–Assisted Reduced-Order Modeling and Stability Control in Granular Couette Flow
Abstract: This study develops a reduced-order and stability-aware modeling framework for dense granular Couette flow by integrating continuum mechanics, bifurcation analysis, and data-driven stability estimation. Starting from coupled governing equations for momentum, granular temperature, and microstructural evolution, the system is nondimensionalized and reduced using a Galerkin projection consistent with shear-driven boundary conditions. This yields a low-dimensional nonlinear dynamical system that preserves the essential coupling between velocity, fluctuation energy, and structural relaxation. …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 3, 2026 Read article
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Symmetry Breaking in Mathematical Models: Bifurcation, Chaos, and Pattern Formation
Abstract: Symmetry breaking serves as a central organizing principle in the understanding of nonlinear systems across physics, biology, chemistry, and engineering. When a system transitions from a symmetric state to an asymmetric configuration, it often signals the onset of new structures, dynamic behaviors, or even chaotic regimes. This review explores symmetry breaking from the theoretical and mathematical perspectives of bifurcation theory, chaos theory, and pattern formation. We discuss how small parameter …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 25–30 Read article
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Automization of Fair Priced Shops
Abstract: Nowadays, machine-driven promoting machines upheld by inserted frameworks innovation are to a great extent being used as they make changed exercises not exclusively less demanding, anyway conjointly extra practical. This paper presents the self-adjusted sustenance and oil apportioning machine. This machine has varied information and yields to create administration to the customer. This machine is practically equivalent to opening machine. It is a coin worked machine. It acknowledges exclusively coins …
Published in Journal of Open Source Developments · Vol. 6, Issue 1, 2019 · pp. 11–17 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 Read article
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Minimization of Energy Utilization in Wireless Sensor Network using Nature-Inspired Algorithm to maximize the overall network lifespan: A Review
Abstract: Wireless Sensor Networks is the most driving innovation in the world which makes it conceivable to collect the installed frameworks which can be typically carried in the pocket with the comparative capability of a Desktop Computer. It comprises of self-supervising battery controlled gadgets referred to as hubs which go about as a transducer. The hubs are sufficiently canny to detect, figure and transfer the information. While the hubs are battery …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 2, 2021 · pp. 30–35 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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Advanced Functional Polymers and Their Synergistic Role in Smart Composite Materials for Sustainable Industrial Applications
Abstract: Advanced functional polymers have revolutionized composite materials, offering enhanced properties such as self-healing, electrical conductivity, environmental adaptability, and high mechanical strength. These innovations are reshaping industries by enabling smarter, more efficient, and sustainable solutions. Functional polymers play a pivotal role in producing high-performance composite materials to meet the growing demands of sustainable industrial applications. Significant improvements in material properties mechanical strength, durability, thermal stability, and recyclability are achieved through the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 12–27 Read article
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Multi-Layered AI-Driven Security in Wireless Ecosystems
Abstract: The proliferation of next-generation wireless technologies, from 5G/6G networks to the pervasive Internet of Things (IoT), has birthed a hyperconnected digital ecosystem of unprecedented scale and dynamism. This interconnectedness, however, introduces a vast and volatile attack surface, rendering conventional, signature-based security paradigms fundamentally obsolete. This paper posits that the only viable defense is an offensive, self-adaptive one, predicated on the integration of artificial intelligence (AI) directly into the wireless security …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 21–28 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article