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126 articles for “artificial intelligence (AI)”
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SaaS Multi-Model Integration: A Comprehensive Student Companion
Abstract: The “SaaS Multi-Model Integration” paper addresses the challenges faced by students in accessing timely, personalized, and cost-effective academic assistance. Individual large language model chatbots excel in specific areas – academic reasoning, mathematical problem-solving, or general queries – but their fragmented nature forces students to subscribe to multiple services, leading to wasted time, money, and effort, particularly during urgent academic needs. This paper consolidates the strengths of widely used large language …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 10–17 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Evaluation of Two Distinct AI Control Methods to Enhance Power Quality
Abstract: Artificial Intelligence techniques are the latest techniques utilized for the improvement of electrical performance. This study examines and contrasts various artificial harmonic reduction methods for source current. Artificial Intelligence may include Fuzzy logic and Artificial Neural Network. The goal of the modeling is to improve the power quality through the application of principles that cannot be expressed as "true" or "false" but rather as "partially true" called as Fuzzy logic …
Published in International Journal of Electrical Power System and Technology · Vol. 8, Issue 2, 2022 · pp. 15–26 Read article
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Deep Learning with CNNs: A Survey of Techniques and Real-World Applications
Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its methodologies, regularizations, and computational efficiencies. We also address the challenges and future directions of CNN. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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AI Techniques for Data Analytics and Data Science: Software Tools, Research Challenges, Applications: A Review
Abstract: Artificial intelligence is the branch of Computer Science in which multidisciplinary expertise is required and ultimately the main aim is to automate the activities of all human which require human intelligence. The main issue is to design or create machine that completely works like a human brain. Artificial Intelligence architecture focuses on evaluation and redesigns design process. Now days Data Science is most popular all around the world and is …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 9–17 Read article
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A study on additive manufacturing with optimization of artificial intelligence
Abstract: Abstract The process of producing a three dimensional product layer by layer is called additive manufacturing. This process not the same as a traditional machining procedure. Chips are taken out of the raw material to create a component in traditional machining. three dimensional printing is another name for additive manufacturing. The benefit of three dimensional printing is that it can create any complex three dimensional item. The culinary, chemical, aerospace, …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 19–40 Read article
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Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
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Design and Optimization of Gas Turbine Blades for High-Temperature Operations
Abstract: Abstract The design and optimization of gas turbine blades for high-temperature operations are critical to enhancing the efficiency and reliability of power generation and propulsion systems. These components operate under extreme conditions of heat, pressure, and mechanical stress, making their performance pivotal to the overall effectiveness of turbines. This study explores the key factors influencing blade performance, emphasizing the importance of material selection, thermal barrier coatings, aerodynamic design, cooling mechanisms, …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 22–27 Read article
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Microbial and Enzymatic Degradation of Polyethylene: Molecular Mechanisms, Omics Approaches, and Biotechnological Applications
Abstract: Abstract: Polyethylene (PE), a commonly used synthetic polymer, is highly resistant to natural breakdown, leading to serious environmental and ecological issues such as soil and marine pollution, the formation of microplastics, and risks to wildlife and human health. Recent efforts have focused on using microbial and enzymatic processes to handle polyethylene waste. Microorganisms such as bacteria (Pseudomonas, Bacillus), fungi (Aspergillus, Penicillium), and algae produce enzymes like laccases, peroxidases, oxygenases, and …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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AI-Based Deepfake Voice Detection Model for Hindi Language
Abstract: Most current research on deepfake voice detection focuses heavily on English or Mandarin, creating a significant security gap for Hindi speakers. To address this, we developed a detection framework specifically tailored for the Hindi language using a lightweight approach: Mel-Frequency Cepstral Coefficient (MFCC) feature extraction paired with an XGBoost classifier. We trained the system on a large dataset comprising over 99,000 real voice samples and roughly 3,800 synthetic samples, each …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Review of AI and Machine Learning Techniques in Dew Point Pressure Prediction for Gas Condensate Systems
Abstract: Condensate gas reservoirs pose considerable management challenges due to their intricate phase behavior and the critical need for accurate predictions of dew point pressure (PDew). A precise determination of PDew is vital for optimizing production strategies, estimating reserves, and planning enhanced oil recovery operations. Traditional methods for PDew determination often involve experimental analyses that can be both costly and time-consuming, highlighting the necessity for alternative predictive models. This review consolidates …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 1, 2025 Read article
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Using Building Intelligence as an Aiding Tool for Livelihood during Pandemic Situation COVID-19
Abstract: It has been experienced that Building Intelligence is constantly evolving among ongoing era. Utilization of Building automation system can now emerge as a very useful tool for livelihood during pandemic situations like COVID-19. It can help the user occupants to access, utilize and work from home or their native environment. This will ensure working with minimal physical contact as well as safety from physical transmission of virus infection. Considering that …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 6, Issue 2, 2020 · pp. 1–6 Read article
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Artificial Intelligence “Humans and Machines”
Abstract: This paper reviews the meaning of artificial intelligence and its various advantages and disadvantages including its applications. It also considers the current progress of this technology in the real world and discusses the applications of AI in the fields of heavy industries, gaming, aviation, weather forecasting, expert systems with the focus being on expert systems. The paper concludes by analyzing the future potential of Artificial Intelligence.
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 38–47 Read article
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Artificial Intelligence and Associated Technologies
Abstract: This paper reviews the meaning of artificial intelligence and its various advantages and disadvantages including its applications. It also considers the current progress of this technology in the real world and discusses the applications of AI in the fields of heavy industries, gaming, aviation, weather forecasting, expert systems with the focus being on expert systems. The paper concludes by analyzing the future potential of Artificial Intelligence.
Published in International Journal of Software Computing and Testing · Vol. 3, Issue 2, 2017 · pp. 48–53 Read article
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Audio & Video Translate System
Abstract: With the increasing expansion of digital media and globalization, there is a rising need for sophisticated audio and video translation systems to overcome language and cultural barriers. This paper explores the role of these systems in localizing multimedia content, ensuring accessibility, and complying with global standards, including those focused on individuals with disabilities. The research aims to investigate how various translation technologies, such as dubbing, subtitling, and audio descriptions, contribute …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Challenges and Requirements in Internet of Things
Abstract: The Internet of Things (IoT) serves as a technical tool for experts by transforming physical resources into smart entities using existing network infrastructures. Its main goal is to provide intelligent and seamless services to users without any downtime. The Internet of Things (IoT) paradigm aims to create an advanced data system by combining sensor data collecting with efficient data processing, networking, machine learning, artificial intelligence, big data, and clouds are …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 2, 2021 · pp. 6–11 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Optimizing Aircraft Navigation Control: An ExtensiveReview
Abstract: In the earlier world, the number of airplane uses and transportation through airlines were limited butnow the people are upgraded, and they choose the easiest way for transportation then naturally the airtraffic is also increased. Optimizing aircraft navigation control has become an important field ofresearch because of the quick advances in aviation technology and the growing desire for economicalair travel. A detailed overview of contemporary aircraft navigation optimization techniques,technologies, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 32–36 Read article
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A Smart App-Based Irrigation System for Sustainable Agriculture
Abstract: Abstract : Agriculture is significant factor in meeting up with the needs of the future, as well as the world's population that is likely to increase significantly in the coming years but agriculture is highly dependent on the availability of water. In many places erratic rains and scarce water resources have meant traditional irrigation methods have been inefficient and unsustainable. Farmers often use fixed time or judgment in irrigating the …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 41–49 Read article