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670 articles for “Automated Model”
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Swarm Intelligence in Software Engineering: A Systematic Review of Crowd-Based Development Models
Abstract: The crowd-based software production model has emerged as a transformative paradigm, leveraging global collaboration, decentralized governance, and artificial intelligence (AI)-driven automation to develop software efficiently. Traditional software development models, characterized by centralized control and in-house teams, are increasingly giving way to distributed, community-driven efforts. Key advancements such as blockchain-based decentralized autonomous organizations (DAOs), AI-assisted coding and debugging, and edge computing applications are reshaping the landscape of software engineering. DAOs provide …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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Study and Modelling of Id Allocation Scheme for Controller Area Network
Abstract: Diverse Bus standards are employed in dedicated application field considering the required safety level, data rate and costs. The Controller Area Network is a widely used communication protocol used in automotives. CAN is mostly used in real time safety critical system where the performance of communication is significant. Performance analysis of the CAN is very important and can be done either using hardware or software, using hardware is costly and …
Published in Journal of Electronic Design Technology · Vol. 3, Issue 1-3, 2012 · pp. 72–78 Read article
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Computer Aid for Stability Testing Between Parts towards Automatic Assembly Sequence Generation
Abstract: AbstractStability is one of the most essential criteria to be ensured during assembly sequence generation (ASG). The stability predicate ensures stable assembly subsets for sub-assembly detection and parallel assembly process. In this paper a novel method to represent assembly stability using four point scales is proposed. Mechanical equilibrium conditions are used to test the partial stability of the parts effectively. Part surface features and contact with attachments are considered to …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 22–26 Read article
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Evaluating Facial Attractiveness through Proportions Analysis Based on Geometric Features
Abstract: Nowadays, having information about features of an attractive individual’s face plays a crucial role in self-confidence and high performance in such careers as managing a company, marketing, modeling, advertising, etc. In this paper, we intend to determine the features of an ideal individual’s face. For this purpose, we used our proposed method in addition to four angles and distance analysis to find out more parameters of an ideal face. In …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 20–26 Read article
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Advancements in Electromechanical Modeling for Energy Harvesting and Actuators in Robotics and Design Engineering
Abstract: This article examines the expanding field of electromechanical modeling, highlighting the integration of energy harvesting, actuator behavior, and magnetic/electromagnetic analyses in the design and production of electromechanical systems. It discusses the application of the Galerkin method for modeling intricate vibrations and torque generation, with a particular focus on its use in actuators for robotics and induction motors. Significant advancements in energy harvesting methods, especially those utilizing mechanical vibrations, have led …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 21–25 Read article
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DESIGN OF AN INNOVATIVE ECONOMICALLY EFFICIENT AND INTELLIGENT SMART CITY LIGHTING SYSTEM
Abstract: It is essential to search for an efficient and innovative solution to protect the environment by reducing the carbon footprint. There is an urgent need to discourage use of ineffective and inefficient traditional power sources. We need to implement an innovative, economically efficient and intelligent smart citylighting system to solve some of the existing social, economic and environmental problem under the smart city project. In the present paper a prototype …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 3, 2022 · pp. 8–16 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Artificial Intelligence and Creativity
Abstract: Abstract: Human intelligence is now being implemented in machines, and then machines are now known as intelligent machines. These are used to work on their intelligence. This intelligence is known as artificial intelligence. Nowadays we are making new machine with new idea and new creative knowledge that are reducing human effort which are involved in the working of the whole work done by the motor and all other mechanical work. …
Published in Journal of Operating Systems Development & Trends · Vol. 6, Issue 3, 2019 · pp. 9–13 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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Nanotechnology-Enhanced Battery Management System for Passive Cell Balancing in Lithium-Ion Polymer Batteries for Electric Vehicles
Abstract: The automotive industry is swiftly moving towards eco-friendly innovations, with electric vehicles (EVs) taking center stage in this transformation. A crucial component of these vehicles is the battery, particularly lithium-ion polymer batteries, which exhibit superior performance compared to other battery types. However, these batteries are sensitive to both overvoltage and undervoltage conditions, posing potential safety risks. Additionally, imbalances between individual cells can degrade battery performance and reduce its service life. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 27–34 Read article
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Open-Source Software Empowering Artificial Intelligence, Machine Learning, and Cyber Security: A Comprehensive Research Study
Abstract: Open-source software (OSS) has become a foundational pillar for rapid innovation across artificial intelligence (AI), machine learning (ML), and cybersecurity. This paper delivers a comprehensive, journal-length analysis of OSS-driven ecosystems, emphasizing collaborative development, transparency, and accelerated deployment. By providing freely available libraries, tools, and frameworks, OSS makes it easier for developers and researchers to experiment, build models, and deploy solutions quickly. This study examines how OSS can be combined with …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
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Controlling Movement of Vehicle Using Ultrasonic Sensor
Abstract: At the present years, the collisions are majorly caused by interruption of the driver to hit the brake or by the negligence by the driver. The present work aims to develop a model system that recommend an automatic braking in vehicle, which is system can operate spontaneouslywith the help of high profile sensors based on relay circuit and some changes in traditional braking system and apply the brake automatically in …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 3, 2020 · pp. 22–27 Read article
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An Abnormal Expression Detection System (AEDS) Using Deep Learning Algorithms
Abstract: In the last decade, many deep learning algorithms have achieved remarkable success and gained popularity in various computer vision tasks, including object detection, image recognition, and segmentation. This AEDS (Abnormal Expression Detection System)leverages the power of deep learning algorithms to detect abnormal facial expressions in real-time automatically. AEDS proposed two important models; those are Deep CNN and RNN. CNN is responsible for learning discriminative features from facial images and capturing …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 72–79 Read article
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AI-driven Flood Surveillance and Dam Control: Advancing Resilience Through Data Science
Abstract: This study presents the development and real-world deployment of an intelligent system for flood monitoring and automated dam gate control using artificial intelligence (AI) and internet of things (IoT) sensors. Supervised machine learning models are developed to predict floods up to 48 h in advance. An automated dam gate operation system is designed to leverage the flood forecasts and real-time stream water levels for emergency control. The complete end-to-end infrastructure …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 9–17 Read article
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Advanced and Smart Multi-level Car Parking System using PLC
Abstract: Abstract This paper presents a model of multilevel parking system with the automatic process using a programmable logic controller (PLC). The aim of this work is to mitigate the problems associated with general multilevel parking system by using PLC and advanced engineering concepts. PLC is a modern digital computer that has advanced features over microcontroller. In this project work, a model of three-floor parking system is presented with advanced control …
Published in Journal of Microcontroller Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 1–5 Read article
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Parametric Design and Multi Objective Optimization of a Two-Axle Tipper Trailer Chassis for Enhanced Strength
Abstract: The primary objective of this project is to perform a detailed analysis of the chassis frame by considering variations in cross-sectional geometry as well as material composition. The frame structure includes main longitudinal members supported by a series of cross members, and the study focuses on optimizing both these elements. Material optimization is carried out by introducing composite materials in place of conventional ones, aiming to achieve improved strength-to-weight ratio. …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 16–25 Read article
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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Smart Home Using Raspberry pi
Abstract: With the increase in the utilization of energy and population, there is a critical need to preserve energy in every way possible. Home automation is the use and control of home appliances remotely or automatically. A distantly accessible environment is a location in which each appliance can be remotely accessed and controlled using software as an interface. The aim of this paper is to build up a system that will …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 11–15 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article