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801 articles for “AI optimization”
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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The Role of Optimism in Reducing Psychological Distress Amongst Women in Urban Areas
Abstract: This paper aims to explore the role of optimism in reducing psychological distress among women living in urban areas. Psychological distress, encompassing anxiety, depression, and chronic stress, has become increasingly prevalent due to the fast-paced and demanding nature of urban life. Women, in particular, face unique stressors including work-life imbalances, financial pressures, safety concerns, and societal expectations, which contribute significantly to elevated levels of mental strain. Finding healthy coping strategies …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 Read article
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Harmony Through Ayurveda: A Holistic Guide to Optimal Health Through Diet and Lifestyle
Abstract: Ayurveda is an eternal system of medicine that delineates conventional methods to treat the diseased conditions and encourage perseverance of optimal health, thus maintaining a healthy life. This objective of health maintenance can be achieved with the help of affirmative food and lifestyle alterations in harmony with the quotidian cycle and respective seasons. Ahara and vihara have pivotal role in governing the healthy state of body and mind. In the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 54–60 Read article
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E-Commerce and AI: Product Recommendation and Pricing
Abstract: E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This study will look at the important areas wherein AI is having a substantial impact, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 37–45 Read article
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Industry 6.0: Building a Sustainable Future
Abstract: The next stage of industrialization, known as Industry 6.0, is centered on developing intelligent, fully integrated manufacturing systems that require little human involvement. India is in a perfect position to become a major player in the sector 6.0 ecosystem, thanks to its robust technological infrastructure, fast expanding economy, and large talent pool. It blends big data, cloud computing energy, human-robot interaction, artificial intelligence, and quantum computing. The main aim of …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–32 Read article
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Leveraging Artificial Intelligence for Precision Agriculture: Opportunities and Challenges
Abstract: AI in the agriculture sector is slowly changing the face of farming and the way it is practiced through enhanced precision, efficiency and sustainability. This study explores the role of AI in precision agriculture, focusing on its potential to revolutionize crop management, soil health monitoring, pest and disease control, and resource optimization. We examine the various AI technologies, including machine learning, computer vision, and robotics, that are being leveraged to …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 1, 2025 · pp. 28–40 Read article
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Automatic Water Irrigation System
Abstract: India's economy has long been rooted in agriculture, with the majority of its population relying on it for their livelihood. However, challenges such as erratic rainfall in dry regions pose significant obstacles to effective irrigation. To address this, there is a growing need for automated irrigation systems that can remotely manage water distribution for optimal crop yield and farmer safety. The increasing costs of energy and dwindling water supplies underscore …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 21–25 Read article
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Smart Solar Garage with PSO-Based Optimization for Energy and Vehicle Performance
Abstract: The swift growth of electric mobility, coupled with a rising global focus on sustainable energy, has propelled the advancement of smart garages that incorporate renewable energy, the Internet of Things (IoT), and sophisticated optimization methods. These systems aim to reduce energy waste, boost operational efficiency, and aid in the development of smart, eco-friendly urban infrastructure. This paper outlines the design and execution of a Smart Solar Garage that utilizes Particle …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 6–18 Read article
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Design Optimization of Linseed Thresher for Higher Efficiency
Abstract: Linseed, a valuable Rabi crop grown for both grain and fiber, has seen rising demand across industries, boosting interest in optimizing its production processes. Recognizing this, SVCAET and RS at IGKV Raipur conducted a study focused on improving the design and efficiency of linseed threshing technology. The research aimed to develop an optimized head cut type linseed thresher, addressing both design and performance factors. Three distinct prototypes were designed, varying …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article
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Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
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Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety
Abstract: The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence. As the nuclear industry undergoes a paradigm shift toward decommissioning legacy facilities and establishing deep geological repositories, the limitations of traditional, manually-intensive waste management processes have become increasingly apparent. Rigid separation from the biosphere is required for radioactive waste, which is defined by …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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An Optimised CPU Scheduling Algorithm with Adaptive Time Quantum Approach
Abstract: CPU scheduling is an essential mechanism implemented by the operating system to determine the execution of multiple processes by the CPU. The primary objective of the scheduling algorithms is to optimize the systems’ performance efficiently. The performance of a CPU scheduling algorithm depends on various factors and can be evaluated on various criteria like average turnaround time, average waiting time, throughput, fairness etc. This paper aims to present an optimal …
Published in Journal of Operating Systems Development & Trends Read article
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LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
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Analysis of Project Management Optimization Using CPM and PERT in a Dynamic Business Environment
Abstract: In the current fast-changing business environment, organizations must remain agile and strategically responsive to unpredictable challenges such as supply chain disruptions, shifting consumer demands, and evolving market trends. Project management techniques like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) serve as valuable tools in helping businesses manage these complexities effectively. CPM is a time-focused method that identifies the longest sequence of dependent tasks in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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Strategic Optimization of CNC Machining in Production Systems: A Managerial Review of Methods, Metrics, and Industry 4.0 Integration
Abstract: Computer numerical control (CNC) machining has significantly influenced modern production systems by enabling higher efficiency, quality, and sustainability. As industrial operations strive for leaner production and strategic competitiveness, optimization of machining parameters—including cutting speed, feed rate, depth of cut, and tool path strategies—has emerged as a cornerstone of production planning. This review evaluates the optimization methodologies developed from 2015 to 2025, spanning traditional mathematical models to artificial intelligence (AI)-driven metaheuristic …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 25–30 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article