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251 articles for “time-consuming process”
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 10–22 Read article
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Smart Water Harvester
Abstract: Smart water harvester is a wiser use of Data Science in the optimization of rainwater harvesting, taking into account the forecast of precipitation and ideal catchment areas, and basically image processing using machine learning. In that respect, the system, via predictive algorithms like Random Forests, predicts the amount of rainfall by taking into consideration historical and real-time data, while Digital Elevation Models (DEM) and visualization methodologies of images make geographical …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Arduino based Colour Sensing System with Real-time RGB Display on LCD
Abstract: Using a microcontroller Arduino UNO and TCS3200 color sensors, this project investigates the creation of a color measuring system. Colour sensors operate by emitting light onto an object and analyzing the reflected wavelengths to determine its colour. Our system is designed to detect a wide range of colours with high precision and display the corresponding Red-Green-Blue (RGB) values in real-time on a liquid crystal display (LCD). The TCS3200 sensor, developed …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 35–43 Read article
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Effect of Cell Carrier Loading on Phenol Degradation in Association with Production of Exopolymeric Substances and Biofilm Characteristics during Start up and Steady State in a Pulsed Plate Bioreactor
Abstract: Biodegradation of phenol in a continuous pulsed plate bioreactor (PPBR) using immobilized bacterial cells has been shown to be a highly efficient process. The present paper reports the studies on the effect physical characteristics of biofilm (biofilm thickness, attached dry biomass and biofilm dry density) and chemical characteristics in terms of exopolymers viz. protein, carbohydrate and humic substance produced by Pseudomonas desmolyticum (NCIM 2112) bacterial cells immobilized on granular activated …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 24–30 Read article
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Sensory Psychology of Supergrain Bakery: Consumer Perception Beyond Taste
Abstract: Bakery products remain a cornerstone of diets worldwide, yet wheat-based formulations are increasingly supplemented or replaced as consumers demand healthier, more functional alternatives. Supergrains such as quinoa, amaranth, millet, and cowpea, together with fruit-based flours such as guava flour, have been extensively investigated to enrich wheat-based products and improve their nutritional value. At the same time, the science of sensory psychology has become central to product acceptance, as taste, aroma, …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
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Design and RTL Implementation for AHB-APB Bridge on SoC
Abstract: The focus of this research is to design and implement an interconnection protocol with 32-bit read/write data which operates on AMBA AHB-APB bridge. With the advent of scaling technology, embedded system focuses more on low-power dissipation and SoCs. Hence processors and routing protocols which focus on low-power design by ARM have gained popularity. In high-speed communication modules, the protocol works efficiently but has limitations with device operating at low speed. …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 2, 2016 · pp. 44–52 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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MAP: The Invisible Shield Protecting Our Product's Journey
Abstract: Modified Atmosphere Packaging (MAP) has established itself as one of the most reliable and widely adopted preservation technologies in the modern food industry, offering a practical means of extending shelf life while maintaining the sensory and nutritional integrity of food products throughout storage and distribution. The fundamental working principle revolves around deliberately altering the gaseous composition within sealed packages, primarily through the strategic use of carbon dioxide, nitrogen and oxygen …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 52–58 Read article
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Urban Planning Mitigation Trajectories for Urban Heat Island (UHI) A Case Study of Guntur, Andhra Pradesh, India
Abstract: AbstractGlobal radiation related solair-temperature directly influences Urban Heat Islands (UHI) as the built environments and surrounding atmosphere cause increase in urban solair temperatures, the resulting temperature completely depends on the thermal properties of the exposed materials. Urban heat islands can lead to deterioration of flora and fauna, elevation of ground level ozone, health disorders and increase in building energy consumptions. The study area of Guntur region which is susceptible to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 8, Issue 2, 2018 · pp. 12–29 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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E-Dustbin
Abstract: A major problem with our present society is the soild waste management, as it disturbs both the human health and affects the environment. Monitoring of those wastes is one of the major problem of the present. The traditional method of solving this issue is by making use of huge trash cans in public places and ulitizing the role of human scavengers, which is time consuming in nature. This paper proposes …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 3, 2017 · pp. 1–7 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Effect of Sodium Alginate Concentration on Size of Yeast Immobilized Particle and on Production of Bio-ethanol in a Packed-Bed Fermenter
Abstract: Biofuels are important because they replace the petroleum fuels or fossil fuels and especially ethanol and butanol contribute greatly to the mitigation of greenhouse gases emission, provide clean and sustainable energy source and reduce the consumption of crude oil. Current ethanol production processes using agricultural crops such as sugarcane and corn are well known, i.e., biochemical pathway and thermo-chemical pathway. However, in the biochemical pathway, the reactors used for fermentation …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 2, Issue 1-3, 2012 · pp. 9–14 Read article
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Development of Controlled Concrete by using Hypo Sludge
Abstract: Over 300 million tones of industrial wastes are being produced per annum by chemical and agricultural process in India. These materials pose problems of disposal and health hazards.The wastes like phosphogypsum, fluorogypsum and red mud contain obnoxious impurities which adversely affect the strength and other properties of building materials based on them. Out of several wastes being produced at present, the use of phosphogypsum, flurogypsum, lime sludge, hypo sludge, red …
Published in Journal of Structural Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 16–21 Read article
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Alcohol, Circadian Glymphatic Dysfunction, and Neurodegenerative Protein Accumulation: An Emerging Concern in the Indian Context
Abstract: Alcohol consumption has long been identified as a major public health issue, yet its deeper and more subtle effects on the human brain are only now coming into sharper focus. Traditional explanations often emphasize direct neuronal damage, but emerging research in neuroscience suggests a more intricate story. Recent findings indicate that alcohol not only harms brain cells but also disrupts the body’s internal biological clock—the circadian rhythm—which plays a critical …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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The Role of 3D Modeling in Additive Manufacturing: Advances and Applications
Abstract: By making it possible to create intricate, highly functional, and customized components for a range of industries, the combination of 3D modeling and additive manufacturing (AM) has completely changed contemporary production processes. With an emphasis on both the technological advancements in digital design and its real-world applications, this paper examines the critical role that 3D modeling plays in the success of additive manufacturing. 3D modeling, the cornerstone of additive manufacturing, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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A Review on Extraction of Liquid Fuel from Waste Plastic
Abstract: Liquid fuel is a plastic-based derived fuel. A rapid economic growth and consumption of plastic across globe, it creates a negative impact on environment and affects the human health. The consumption trend of natural fossil fuel and other renewable resources indicating that a resources are depleting after a certain decades. Thus, to find an alternative energy to secure the future demand of world. Waste plastic are attractive way to address …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 34–40 Read article
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Assessing the Performance of Sugarcane Bagasse Ash with Portland Pozzolana Cement
Abstract: Cements which are used for construction work are generally OPC/PSC or PPC and the production of this kind of cement not only consumes huge amount of the natural resources i.e. limestone and fossils fuel, also the world cement production generates 2.8 billion tons man-made greenhouse gas annually. The uses of the industrial and agricultural wastages in concrete partly as cement or any other ingredients replacement are therefore eco-friendly, economic and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 6–9 Read article