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157 articles for “artificial problem”
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Optimizing Sizes And Locations Of Wind Turbines In Ieee 33-Node Distribution System For Loss Reduction By Using Moutaint Gazelle Algorithm
Abstract: This study applies a novel meta-heuristic, called Moutaint gazelle algorithm (MGO) to determine the optimal sizes and locations of wind turbines to place in distribution networks for loss reduction. The IEEE 33-bus distribution system is a test system for conducting the whole study. The results obtained by MGO are compared to those obtained by another meta-heuristic algorithm, called Artificial Hummingbird Algorithm (AHA). The comparison between the two methods indicated that, …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 16–23 Read article
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Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
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A Study on The Impact of Artificial Intelligence in Pharmaceuticals
Abstract: The main goal of artificial intelligence (AI) is to create intelligent modeling, which facilitates knowledge imagination, problem-solving, and decision-making. AI is becoming more and more significant in several pharmacy domains, including polypharmacology, hospital pharmacy, drug discovery, and drug delivery formulation development. Various types of artificial neural networks (ANNs), including deep neural networks (DNNs) and recurrent neural networks (RNNs), are utilized in the development of drug delivery formulations and in drug …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 1, 2025 · pp. 24–32 Read article
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Reducing the Bullwhip Effect in a Supply Chain using Artificial Intelligence Technique
Abstract: The bullwhip effect in a supply chain leads to various inefficiencies like excessive inventory, quality problems, higher raw material costs, and poor customer service, which can be reduced by coordination and collaboration among partners of a supply chain with time bound information sharing; it requires full integration. However, full integration of the organizations of a supply chain is not possible in real case scenario due to existing differences of functions, …
Published in Journal of Production Research & Management · Vol. 4, Issue 2, 2014 · pp. 31–42 Read article
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Temperature Control System using Artificial Intelligence
Abstract: Artificial Intelligence (AI) based controller for temperature control of a water bath system. The generation of membership function is a changeling problem for fuzzy systems and the response of fuzzy systems depends mainly on the membership functions. Artificial Neural Network based input and output used to tune the membership functions in fuzzy system. Two input and single output artificial intelligence is designed to control the temperature system .Further the tuning …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 76–83 Read article
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Artificial Neural Network Based SVC Switching At Distribution System for Minimal Injected Harmonics
Abstract: Electrical distribution system grieves from various problems like reactive power burden, unbalanced loading, voltage regulation and harmonic distortion. However DSTATCOMS are ideal solutions for such systems, they are not popular because of the cost and complexity of control involved. Phase wise balanced reactive power compensations are essential for fast changing loads needing dynamic power factor correcting devices leading to terminal voltage stabilization. Static Var Compensators (SVCs) remain ideal choice for …
Published in Trends in Electrical Engineering · Vol. 9, Issue 1, 2019 · pp. 41–47 Read article
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Utilizing Artificial Intelligence and Remote Sensing to Predict Flooding in Real-Time and Address Climate Resilience Policy in South Asia
Abstract: South Asia, a region characterized by hydro-climatic instability, faces an intensifying risk from devastating flooding, aggravated by human-induced climate change and intricate river basin interactions. Traditional flood prediction systems, based on limited in-situ data and resource-intensive physical models, have serious delays and resolution problems that make it harder to reduce disaster risk. The combined applications of Artificial Intelligence (AI) and high-resolution remote sensing (RS) constitute a paradigm shift in real-time …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 45–61 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Artificial Neural Network Model for Stock Market Forecasting
Abstract: AbstractIn recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks or stock markets. Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained by back-propagation algorithm to make …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 7–12 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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The Role and Functions of Computer Engineers
Abstract: Computer engineers play a crucial role in shaping the ever-evolving technological landscape by designing, developing, and optimizing computer systems and software. Their expertise spans various domains, including hardware design, embedded systems, software development, cybersecurity, and network architecture. These professionals contribute significantly to advancements across multiple industries, from healthcare and finance to telecommunications and artificial intelligence. This article delves into the diverse responsibilities of computer engineers, highlighting their involvement in problem-solving, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 37–51 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Recent Trends in Programming Languages: Navigating the Evolving Landscape
Abstract: The programming language landscape is constantly changing, driven by technological progress, evolving developer preferences, and the growing complexity of today's applications. As software development becomes more sophisticated, the demand for programming languages that can accommodate various paradigms and streamline workflows has intensified. This paper explores recent trends in programming languages, focusing on significant innovations in language design, the emergence of new paradigms, and the transformative impact of technologies such as …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 10–20 Read article
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Artificial intelligence’s role in mental health: Innovations, Challenges, and future prospects
Abstract: Among the many ways in which mental health services are gaining from the integration of artificial intelligence (AI) are improvements in diagnosis, tailored treatment programs, and round the- clock patient help. Two AI-driven solutions are virtual therapists and prediction algorithms, which could increase access to mental health therapy and enable early intervention. However, the application of artificial intelligence in this field raises ethical concerns about privacy, discrimination, and the potential …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Studies of Mathematics: A Review of Research Trends, Themes and Implications
Abstract: This review examines contemporary research trends, thematic developments, and emerging implications within the field of mathematics education and mathematical studies. Drawing on a synthesis of recent scholarly literature, it explores how mathematics as both a discipline and a pedagogical practice continues to evolve in response to technological advancements, interdisciplinary applications, and changing educational paradigms. Major research trends reveal a growing emphasis on problem-based learning, mathematical modeling, and the integration of …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 19–24 Read article
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Instant Response Garbage Disposal Using Android Application
Abstract: Solid waste is a major concern for government bodies and is a consequence of development, modernization, and urbanization. It refers to anything that is not a gas or liquid and poses a serious threat to the natural environment. Solid waste is a type of refuse that can accumulate in a certain area for an extended period of time if not properly managed. The waste can persist in the environment until …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Harnessing Artificial Intelligence for Sustainable Development in Jharkhand: Environmental and Socio-Economic Perspectives
Abstract: Jharkhand is derived from Indo-Aryan languages, comprising two words, “Jhar” meaning “Forest” and “khand” meaning “Land”, meaning FOREST LAND. Geographically, Jharkhand is India’s 15th-largest state, and population-wise, it is the 14th-largest. Despite Jharkhand accounting for India’s 40% mineral production, 39.1% of its population lives below the poverty line, and 19.6% of its children below the age of five are malnourished. It is plagued by a lot of environmental and socioeconomic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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The application of the Jellyfish search algorithm for solving Modified economic load dispatch under the consideration of prohibited operation zones, varied load demand, and renewable energy sources
Abstract: In this research, an expanded version of the original economic load dispatch problem (EELD) is concerned to optimize operation of power plants in power systems. While solving the problem, the power supplied from solar energy is considered in addition to the conventional thermal power plants. The main objective function of the research is to minimize the entire electricity generating cost (EEGC) of all thermal power plants in the systems. On …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 12–18 Read article
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AI-Based Software-Defined Satellite in Decision Making: A Study
Abstract: For decades, satellites have been a vital infrastructure, relaying communication signals, observing Earth's climate, and providing critical navigation data. However, the traditional model of satellite operation is often rigid and reactive, relying heavily on pre-programmed instructions and ground-based control. This limits their flexibility and responsiveness in a rapidly changing environment. Enter software-defined satellites (SDS), and now, the game-changer: artificial intelligence (AI). Imagine a satellite that can independently analyze its surroundings, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 63–72 Read article
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Collaborative Robotics and Smart Automation: Enhancing Human–Robot Synergy in Industry 5.0
Abstract: Industry 5.0 marks a paradigm shift from efficiency-centric automation to a human-centred, sustainable, and collaborative production environment . In this context, collaborative robots, commonly referred to as cobots, play a central role by enabling direct and safe interaction between humans and machines within shared workspaces. These systems are designed to support human operators by undertaking repetitive, precision-intensive, and physically demanding tasks, thereby allowing humans to focus on supervisory control, problem-solving, …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 22–29 Read article