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120 articles for “Algorithmic efficiency”
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The Transformative Power of AI and Machine Learningin Education
Abstract: A revolutionary factor that evolves how learning is experienced and how educational systems function is the incorporation of artificial intelligence (AI) and machine learning (ML) in the classroom. Data- driven decision-making, administrative work automated processes, real-time feedback, and education personalization are all made possible by AI and ML technologies, which are no longer just found in research and industry. This study addresses the various ways that AI and ML can …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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New Data Analysis Method based on L2-Metric over Fuzzy Logic and Genetic Algorithm
Abstract: ABSTRACT L2-Metric is studied over Fuzzy Logic and Genetic Algorithm for analyzing the data. The characterization of L2-metric is generalised over the fuzzy logic and genetic algorithm by isomorphism. This paper presents a new technique of data analysis by Genetic Algorithm (GA), L2 metric and Fuzzy Logic. GA is the process for generating the best variable for the next operation. The data of student’s academic performance is studied as the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 5, Issue 1, 2019 · pp. 13–18 Read article
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Case Study Of Bus System Under Three-Phase PWM Cycloconverter With MPPT Feedback Control
Abstract: In this paper, we examine a bus system as a load to extract maximum obtainable power on it from three phase PWM cycloconverter module. We also use the concept of Maximum Power Point Tracking (MPPT) control through which the efficiency can be improved. The main objective of this case study is to observe the behavior of given bus system when it is applied as a load in MPPT controlled three …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 1, 2016 · pp. 32–36 Read article
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Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
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Smart Battery Management System with Real-Time Estimation of SOC and SOH
Abstract: To make batteries in electric vehicles and energy storage systems last longer, work better, and be safer, they need a Smart Battery Management System (BMS). The main goal of this project is to find out the battery's State of Charge (SOC) and State of Health (SOH) right away. SOC reflects the remaining usable capacity of the battery, while SOH indicates the overall condition and degree of aging of the battery. …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Analysis of THD in Voltage Source Inverter with Constant Current Controller for Solar PV Cell
Abstract: A common method in the study of voltage source inverters is the hypothesis of a voltage-type input source even in the case of renewable energy (RE). When a converter is supplied by an RE, such as a photovoltaic (PV) generator, the dc-link voltage is usually controlled by the converter with closed loop to extract maximum power from the source. The main aim of the paper is to analyze the total …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 7–14 Read article
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Utilizing AI in Civil Engineering for the Construction of Green Buildings
Abstract: Artificial Intelligence (AI) is a discipline in computer science dedicated to creating and applying intelligent machines. This includes exploring recent innovations and methodologies for implementing AI in civil engineering and providing an overview of advancements in the field. The significant progress in big data, deep learning, and machine learning technologies has been successfully applied across various civil engineering sectors. Key areas of AI research in civil engineering encompass structural management, …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 1, 2024 · pp. 31–38 Read article
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Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Adaptive Clustering Strategies for 5G-IoT Wireless Sensor Networks: Insights into Neuro-Fuzzy Approaches
Abstract: The new cellular network standard is 5G. The Internet of Things, or IoT, is growing and changing quickly. Massive cellular bandwidth increases brought about by 5G make it much simpler for the Internet of Things to connect many devices. Current LTE networks will be ten times slower than 5G. This increase in speed will allow IoT devices to communicate and share data faster than ever. In this research, we have …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 33–55 Read article
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IoT Smart Waste Monitoring and Collection Framework
Abstract: Abstract - Solid waste management is one amongst the present challenges in urban areas and it's turning into a vital issue thanks to the fast increase in applicable solid waste management systems area population unit vital for up the setting and also the well-being of this paper, an Internet of Things(IoT) design for real-time residents. during waste watching and assortment has been proposed; able to improve and optimize solid waste …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 1, 2019 · pp. 27–32 Read article
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Development of Smart Fire Extinguishing
Abstract: The invention of smart fire extinguishing agents, which satisfy the growing need for efficient, eco-friendly, and adaptable fire suppression systems, is a significant advancement in fire safety. Traditional fire extinguisher chemicals, such as water, foam, and chemical powders, are effective, but they often have disadvantages, including toxicity, negative environmental effects, and inefficiency in difficult situations. Conversely, smart extinguishing agents maximize fire suppression through intelligent, tailored responses by utilizing advancements in …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–19 Read article
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Effect of various parameters and Equivalent Circuit Analysis on Degradation of Organic Solar Cell
Abstract: This study conducts a mathematical analysis on organic solar cells. Two modeling approaches are studied, equivalent circuit model and optical model. Equivalent circuit model study is conducted by undergoing parametric extraction study of two diode model by implementing genetic algorithm using optimization toolbox in Matlab 2014. Two studies conducted in this section, two diode model study on degradation of organic solar cell under continuous illumination. The optimization studies includes the …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 2, 2016 · pp. 5–9 Read article
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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Comparison of Three Interpolation in OFDM Systems
Abstract: Doppler shift and channel induced fading effects are more likely to induce inter carrier interferences (ICI), which are the challenging research area in the orthogonal frequency division multiplexing (OFDM). This paper uses channel estimation for canceling the effects of ICI from the received signals. One dimensional frequency domain comb-type channel estimation are considered because of its low computational complexity and effective tracking ability of the fast fading channel. The channel …
Published in International Journal of Broadband Cellular Communication · Vol. 3, Issue 1, 2017 · pp. 1–9 Read article
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Energy Efficient Ceiling Fan Using BLDC Motor: A Review
Abstract: For many years, ceiling fans have been a necessary component of both commercial and residential areas because they offer ventilation and relaxation. However, the need for energy-efficient ceiling fans that do not compromise performance is growing as sustainability and energy efficiency get more attention. This demand has led to a rise in the use of brushless DC (BLDC) motors in ceiling fan technology. The investigation of energy-efficient ceiling fans powered …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 10, Issue 2, 2024 · pp. 8–15 Read article