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260 articles for “Data availability”
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Rapid Forecasting of Short-run Electric Power Demand Profiles of India Using the Statistical Method of Z Scores
Abstract: Power demand profile prediction for a region or nation is a critical part of the energy system design and operational planning process. A simplified method based on non-dimensionalizing power demand data from previous years using Z scores calculated from the mean and standard deviation of the profiles is developed in this study to forecast monthly demand profiles at time resolution of 1 hour for future years. The Z score range …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 1, 2025 · pp. 38–48 Read article
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A Real-Time System for Efficient Laundry Resource Allocation in University Dormitories
Abstract: Adequate management of the available resources in communal places like university dorms is important in improving the convenience of the students, and in providing optimal use of these facilities. This paper describes the design and implementation of a real-time system on efficient allocation of resources when it comes to laundry in a university dormitory. The system also seeks to counter the challenges that are prevalent among students such as long …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 1–10 Read article
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Bloodline: A Efficient Interface for Urgent Blood Availability
Abstract: Blood donation and transfusion have long been critical issues, with blood shortages worldwide leading to many preventable deaths. One of the key challenges contributing to these shortages is the absence of a centralized system for managing blood donations. Traditional methods of blood collection are increasingly outdated in the digital age, highlighting the need for an automated system to streamline donation processes and provide information to those in need. To address …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 28–36 Read article
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ConnectED-AI: Connecting Education with Artificial Intelligence
Abstract: In a rapidly evolving educational landscape, the role of technology and artificial intelligence (AI) in enhancing learning experiences has gained immense importance. The “ConnectED-AI” project represents a pioneering effort to leverage AI to empower students with personalized and effective educational resources. This report provides an overview of the “ConnectED-AI” project, which is designed to address the diverse and dynamic learning needs of students. Our project aims to connect students with …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 36–50 Read article
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Reading Habits Among the Students of ABK High School Boys and Girls, AMU: A Comparative Study
Abstract: This study explores the reading habits of students from ABK Union High School, affiliated with Aligarh Muslim University, focusing on both boys' and girls' sections. The primary aim is to understand the preferences, attitudes, and challenges students face regarding reading. Specifically, this research examines the factors that influence their reading habits, such as the availability of reading material, time management, and the role of technology. Data were collected using a …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 3, 2024 · pp. 14–23 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Movie Popularity Content-based Database System Using Cloud Computing Based on Deep Learning and AI
Abstract: The digital age has brought rapid growth in both the production and consumption of movies within the entertainment industry. This surge in movie availability has created a need for effective methods to assist users in discovering films that align with their preferences. This paper introduces the concept of a “Movie Popularity Content-Based Database System,” designed to enhance the movie recommendation process by combining content-based filtering with popularity trends. In summary, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 7–12 Read article
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Malicious Application Detection in Windows Using SVM Algorithm
Abstract: In recent years, both the development of Windows application clients and the uses of smart mobile phones have increased significantly. As the number of Windows application users continues to grow, there is a rise in malicious individuals who develop harmful Windows applications with the intent of unlawfully obtaining confidential information and engaging in fraudulent activities. These applications are designed to target vulnerable areas such as mobile banking and digital wallets, …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 30–36 Read article
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A Dynamic Text Compression Model for Big Data Applications Using Hadoop
Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
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Necessity of “Cigarette Smoking De-Addiction Kiosks” at Ayush Health and Wellness Centers – An Overview
Abstract: Introduction and Socio-Demography: Cigarette is the most common form of smoked tobacco that is used globally. About 1.3 million deaths have been reported in India associated with tobacco use. India has implemented several tobacco controls measures, and as a part of that, de-addiction centers play an important role in treating addictions using various therapies. However, the discontinuation from taking de-addiction care from those allopathic centers is high due to higher …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 9–19 Read article
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Use of library Internet Facilities
Abstract: Libraries have transformed into vibrant centers of digital connectivity and knowledge dissemination in the ever-evolving information technology landscape. Fundamental to this transformation is the unavoidable mix of the Web into library administrations and assets. A new age of accessibility, empowerment, and creativity that is unrestricted by the physical limitations of physical buildings has begun with the usage of the Internet in libraries. Supporters presently have the world readily available, with …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 3, 2024 · pp. 33–40 Read article
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Design and Analysis of Smart Solar EV Charging System
Abstract: The rising demand for electric vehicles (EVs) has generated an urgent requirement for sustainable and advanced charging systems. This study delineates the design and analysis of an intelligent solar EV charging system intended to reduce dependence on the grid and optimize the utilization of renewable energy. The system incorporates a solar photovoltaic (PV) array, battery energy storage, and an IoT-enabled smart controller to optimize power delivery. A Maximum Power Point …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 06–15 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Computation of the Necking in Bars Without Geometrical Imperfection
Abstract: This paper presents a finite element analysis to compute the neck profiles of smooth, circular cylindrical bars in shear-free grip under uniaxial tensile load. The analysis uses 4-node quadrilateral element with linear displacement variation, as well as 8-node Serendipity quadrilateral element with curved sides and a quadratic variation of the displacement field, for power law hardening materials that follow von Mises plasticity. All the elements are based on isoparametric formulation. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article
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Get-Together: A Web-Based Platform for Organising, Booking, and Management of Venues, Services, Events, and Commodities
Abstract: Planning an event is often a complicated and demanding process that requires the coordination of several independent service providers, including venue managers, caterers, decorators, entertainers, musicians, vendors, and many others. Relying on traditional booking approaches usually means depending on manual communication or third-party agencies, both of which can introduce unnecessary delays, scheduling conflicts, higher costs, misunderstandings, and limited room for personalisation. This research proposes a comprehensive web-based platform designed to …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 41–47 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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PLC Based Smart Car Parking Barrier System
Abstract: This research paper presents an innovation of PLC-based smart car parking barrier system that is intended to improve parking management and security in urban areas. To effectively control the space efficiently & enhance the reliability of the parking system. PLCs (programmable logic controllers) are the foundation of the system, and sensors are connected to enable automated vehicle entry and exit. In this case, the up and down mechanism of barriers …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 34–38 Read article
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Investigating the Influence of Changing Climate Patterns on Seasonal Water Availability Within Transboundary River Systems
Abstract: Climate change is significantly altering hydrological systems, particularly in transboundary river basins, which are crucial for regional economies, ecosystems, and human well-being. Variations in precipitation patterns, temperature fluctuations, and altered snowmelt are increasing the unpredictability of seasonal water availability, intensifying risks of both water scarcity and flooding. These shifts pose severe challenges to water management, often leading to disputes and complicating regional cooperation among riparian nations. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 6–10 Read article