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617 articles for “drying time”
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Survey of Predictive Models for Safe Route Predicting Using Machine Learning Techniques
Abstract: Safe route prediction is essential for the well-being and security of individuals in urban and rural environments. Machine learning techniques leverage historical data, real-time information, and algorithms to estimate the safety levels of different routes. The objective of safe route planning is to minimize risks, including crime-prone areas and accidents, reducing potential harm, property damage, and emotional distress. However, challenges arise from the complex and dynamic nature of urban environments, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 13–22 Read article
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The Future of Camelids in South America: Recent Developments and Prospects
Abstract: Camelids, including llamas, alpacas, vicuñas, and guanacos, have been central to South American culture, economy, and ecosystems for centuries. Known for their adaptability to harsh Andean climates, these species provide valuable resources, such as luxurious fiber, nutritious meat, and durable leather. In modern times, their importance has grown due to increasing demand for sustainable and ethically sourced products, coupled with their minimal environmental impact and significant contributions to rural livelihoods. …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 35–38 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Remediation of Condemn Oil Polluted Loamy Soil Using Azadirachta Indica (Neem)
Abstract: The remediation of condemn oil polluted loamy soil using neem (azadirachta indica) was investigated. The neem leaves came from Akpugo in the southeast Nigerian state of Enugu State's Nkanu West local government area. The leaves were dried at room temperature and subjected to grinding machine to obtain the powdered form of the dried leaves that serve as treatment to remediate condemn oil polluted loamy soil. Three masses 5g, 10g and …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 21–27 Read article
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Micro Level Mobility Intervention in Urban Spatial Structure in Reducing GHG Emissions: A Case of The City of Lucknow, Prayagraj and Varanasi
Abstract: In contemporary times, the Greenhouse Effect has emerged as a paramount concern in urban areas. With India undergoing rapid urbanization, cities are witnessing soaring temperatures. Greenhouse gas emissions are one of the main causes of the Greenhouse Effect. India stands among the highest emitters of GHGs, primarily stemming from the energy sector, particularly in electricity generation. The period from 2005 to 2018 saw a noteworthy surge in India's emissions, largely …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 25–33 Read article
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Mobile Electric Vehicle Charger with Fast Charging Technique
Abstract: With the ever-increasing demand for electric vehicles (EVs), the need for efficient and user-friendly charging solutions is becoming more critical. This manuscript explores the development and impact of mobile EV charging solutions through the integration of mobile applications and fast-charging technology. The proposal examines the evolution of portable, on-demand fast charging systems as essential components of EV infrastructure, including the use of renewable energy sources such as solar power. The …
Published in Trends in Electrical Engineering · Vol. 15, Issue 1, 2025 · pp. 51–58 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Computational Intelligent Techniques for Enhancing the Capabilities and Efficiency of Smart Water Meters
Abstract: In recent years, the realm of smart water meters has undergone a transformative evolution driven by the integration of computational intelligent techniques. This research work embarks on an exploration of the multifaceted applications of these techniques, delving into their profound impact on enhancing the functionality and efficiency of smart water meters. The convergence of artificial intelligence (AI) and machine learning (ML) algorithms with smart water meters presents a paradigm-shifting opportunity …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 66–74 Read article
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Seasonal Variations of Air Quality Measures In Warri and Effurun, Delta State, Nigeria.
Abstract: Air quality in Urban Cities like Warri and Effurun has been deteriorating over time. The distribution levels of air pollutants in the Warri and Effurun environments may be related to both natural and man-made factors. In addition to evaluating the quality of rainwater with regard to pH, heavy metals (Fe, Pb, Cd, As, Hg, CU, Zn), and some anions (Cl-, NO3-, SO42-, CO32-), this project study aims to investigate, using …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 1, 2024 · pp. 23–48 Read article
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Design and Implementation of Intelligent Obstacle Avoiding Robot
Abstract: The Intelligent Obstacle Avoiding Robot is an autonomous robotic system designed to navigate safely through unknown or congested environments by detecting and avoiding obstacles in real time. This robot integrates sensor modules, embedded control systems, and intelligent decision-making algorithms to achieve smooth and collision-free movement. Ultrasonic, infrared, or LiDAR-based sensors are used to continuously measure the distance between the robot and surrounding objects. The sensor data is processed by a …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 1–6 Read article
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AI-Driven Pharmacogenomics and Precision Medicine: Future of Personalized Therapy
Abstract: Pharmacogenomics and artificial intelligence (AI) are emerging as important drivers of precision medicine, enabling healthcare systems to adopt individualized therapeutic approaches. Pharmacogenomics examines how genetic variations influence drug response, efficacy, metabolism, and toxicity, while AI provides advanced computational tools for analyzing complex genomic and clinical data. This review highlights the integration of AI-driven pharmacogenomics in personalized therapy and its potential to improve treatment outcomes. Machine learning, deep learning, natural language …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 1–12 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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IoT-Enabled Authentic Ration and Material Distribution Systems
Abstract: A home Ration Certificate is an essential item. The largest retailer system in India is Public Distribution System (PDS). A ration card is provided by the public distribution network, which is run by the state administration. All people have ration cards for purchasing essential consumers material like wheat, rice, kerosene, and oil. The present ration distribution system has many problems such as authentication problems, waste of time in queues, lots …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 26–34 Read article
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Innovative Water Distribution Systems: Raspberry Pi Based Adaptive Water Vending Solutions
Abstract: Technology has advanced to the point that many complex equipment and gadgets are now indispensable tools for humankind. Among these, automated vending machines have become a mainstay, simplified a variety of tasks and greatly increased productivity while reduced the need for human involvement. These devices, which have numerous inputs and outputs, can dispense snacks, cold beverages, coffee, tea, water, and more to meet the needs of a diverse clientele. The …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 33–42 Read article
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Advancements in Ore Beneficiation Technologies: A Review of Modern Extraction Methods
Abstract: Ore beneficiation plays an essential role in the mining industry, as it facilitates the extraction of valuable minerals from their ores while ensuring maximum efficiency and minimal environmental impact. Beneficiation technologies have evolved significantly over time, leading to improvements in metal recovery rates and reduced waste generation. These advancements have enabled the mining industry to address increasing resource demands, with a particular focus on sustainability and cost-effectiveness. In this review, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 36–40 Read article
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A Review on Digital Twin Technology in Robotics
Abstract: Digital Twin (DT) technology has emerged as a transformative concept in robotics and automation, enabling virtual representation of physical systems, real-time monitoring, and performance optimization. This review explores the foundations of Digital Twin, its integration in robotic systems, key enabling technologies, applications, current challenges, and future research directions. The paper concludes by highlighting how Digital Twin transforms design, control, prediction, and human-robot collaboration.Digital Twin technology is transforming the field of …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 10–15 Read article
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Kinetics of Soil Contaminant Degradation Enhanced by Jatropha Tanjorensis Leaf Bio-Stimulant
Abstract: The data obtained from the experiment show a high viability of the plant extracts in the biodegradation process, the maximum specific rate was determined. Also, application of Michael Menten’s equation were also applied, the maximum dissociation rate constant was obtained from lineweaver bulk plot, for both sun-dried and room dried at 100 g of CPED and CPEL as RMAX to be 1000 ppmday-1 and 555.55 ppmday-1 whereas KPTH 3190.16 ppm-1 …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 01–06 Read article
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IoT and Smart Sensors for Structural Health Monitoring: Trends, Challenges, and Future Directions
Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, resilience, and sustainability of civil infrastructure systems. In recent years, the convergence of Internet of Things (IoT) technologies and smart sensor systems has revolutionized the field of SHM. This integration enables continuous, real- time monitoring, facilitates predictive maintenance, and reduces the costs associated with structural inspections. IoT-based SHM frameworks leverage wireless sensor networks, cloud computing platforms, and intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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Mechanisms of Crystal Growth: From Spiral Steps to Surface Adhesion
Abstract: Crystal growth is a complex interplay between thermodynamic stability and kinetic processes, influenced heavily by the conditions under which crystallization occurs—particularly the degree of supersaturation. This abstract outline three principal regimes of solution-grown crystal growth: defect-driven, two-dimensional, and adhesive growth. At low supersaturation, growth is facilitated at surface defects, such as screw dislocations, where energy barriers to attachment are minimized. This results in the formation of spiraling steps that propagate …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 46–31 Read article