Search
1980 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Climate Change and Water Flow Relationship: Shigar Basin Pakistan
Abstract: Glacier melting leading to its fluctuation, in one way indicates change in the climate whereas in another way poses water resource management problems for the policy makers and disaster managers. Pakistan is drained by Indus River, whose upper basin runs across Hindukash-Karakorum-Himalayan Range which houses the largest cryosphere after both the poles. From hydro-climatological data for period from 1985 to 1997, the analysis show very weak relationship between precipitation and …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 1, 2015 · pp. 22–37 Read article
-
Smart Attendance Management System: Design and Implementation
Abstract: The Smart Attendance Management System (SAMS) is an all-in-one, role-specific digital platform created to transform how educational institutions manage both attendance and academic content. Designed with modern technological standards, SAMS simplifies and streamlines the tracking of student attendance while also facilitating effective course administration. The system supports a wide range of features such as automatic attendance recording, detailed reports for individual subjects, and consolidated overviews of overall class attendance. In …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 Read article
-
A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
-
“FORCE-DISPLACEMENT TRADE OFF” OF RCC BUILDING LOCATED AT VARIOUS SEISMIC ZONES AND SITE CONDITION ADOPTING TIME-HISTORY ANALYSIS
Abstract: Earthquake-resistant or aseismic design are considered to protect buildings to some or greater extent from earthquakes. The force-displacement trade off of structures located in various seismic zones are different in nature depending on intensity of earthquake. No structure can be fully immune to damage from earthquake, the vulnerability can be reduced for safety and durability. The force-displacement behavior of a particular structure can be modified to withstand seismic occurrence preventing …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 1, 2023 · pp. 14–32 Read article
-
Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Feasibility of Using Nondestructive Testing (NDT) in Roller Compacted Concrete Quality Assessment
Abstract: Roller compacted concrete is a no slump, heavy duty concrete usually used in pavement constructed of roadway, parking lots, in areas of frozen environment or aired region where there is shortage of water for curing, and when other paving alternatives do not satisfy the pavement design requirements regarding heavy loading, and nonstandard wheel configuration. The traditional testing e slab samples have been prepared in the laboratory using two types of …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 30–39 Read article
-
Federated Learning for Energy Management in Next Generation Smart Cities
Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article
-
Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
-
AI For Climate Vulnerability Assessment
Abstract: Climate change is one of the biggest problems we face every day. The main problems are high temperatures, rising sea levels, and changes in weather, which will be worse in the upcoming years. To predict and adapt to these impacts, we need to create data-driven solutions. The main tool for predicting climate change was artificial intelligence, which can also be utilised to predict the weather and alert people of impending …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 18–33 Read article
-
Quasar: Quantum-Accelerated Sustainable Anomaly Recognition in Climate Systems
Abstract: Accurate detection of climate anomalies is vital for disaster alleviation and policy making in a sustainable manner, but customary detection methods face the challenges of computational inefficiency and physical inconsistency. In this study, we propose a novel approach called Quantum-Optimized Fuzzy Physics-Informed Neural Networks (QFuzzy-PINNs), which integrates quantum computing, fuzzy logic, and physics-informed deep learning. As a first step, we employ quantum annealing for conventional optimization to adjust multiple Gaussian …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 18–27 Read article
-
Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article
-
Unraveling The Concept Of "Humma (Fever)"And Unani Fundamentals In Its Management
Abstract: The Unani system of medicine provides an exhaustive and comprehensive account of fever, delving into its intricacies and nuances. Beyond mere reduction of heightened body temperature, the management of fever within this system encompasses a holistic approach to healing. This approach is underpinned by three core modes of treatment—Ilaj bil Ghiza (dietotherapy), Ilaj bil Tadbeer (regimental therapy), and Ilaj bil Dawa (pharmacotherapy), all of which are rooted in the foundational …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 10, Issue 3, 2023 · pp. 23–28 Read article
-
Integrated Explainable Forecasting and Metaheuristic PI Optimization for LFC/AGC
Abstract: Since the last decade world has seen a paradigm shift towards alternate sources of energy, due to significant increase in population and ever-rising demand. However, the traditional systems were not designed to cope with these alternate sources and on the other hand these systems are posed with the challenges of efficiency and intermittency. So, it is inevitable that we need to design a system wherein forecasting data has to be …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 26–32 Read article
-
Effect of Isothermal Ageing on Microstructure and Mechanical Behavior of 0.5Cr-0.5Mo-0.2V Low Alloy Steel
Abstract: Cr-Mo-V based low alloy steels are widely used in thermal power plants because of their ability to withstand elevated temperature and high pressure under continuous operation. With ferrite-pearlite and/or ferrite-bainite microstructures, these steels find their applications in boiler tubes, pressure vessels and steam turbines. Being cost effective is one of the important factors, which draws attention of many industrialists towards low alloyed steels over highly alloyed steels with austenitic matrix. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 7–14 Read article
-
A Systematic Review of IoT-based Heart Attack Detection Algorithms and Techniques
Abstract: Body temperature has an impact on heart rate, making it a crucial signal that should be watched in order to identify any abnormalities early enough to receive treatment. There is requirement for a small, portable gadget that can be used for monitoring and controlling key indicators on a daily basis. The purpose of this project is to create a device that continuously monitors vital signs while also taking temperature and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
-
Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
-
Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a place scattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created an organized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
-
Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a placescattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created anorganized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent ofpreparation of …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
-
Monsoon Flood Forecasting in Gandak River Using Discreet Wavelet Transform
Abstract: The Gandak River in North Bihar carries huge flood during the monsoon period. The daily variation in its flow during this period is so significant that conventional methods find it difficult to model the flow. In this paper, new models employing discreet wavelet transform (DWT) have been developed to forecast daily flows in a large river like Gandak. DWT decomposes the flow series into constituent wavelet components of ``approximations’’ and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 93–101 Read article
-
Descriptive Study to Assess the Knowledge Concerning Bio-medical Waste Handling Among B.Sc. Nursing Scholars of Selected Nursing Colleges of District Kangra (H.P)
Abstract: The waste generated from health actions can be dangerous, poisonous, toxic and even mortal because of their high probable for ailment transmission and injury that also outcome in environmental disturbances. The first step to safe disposal of dangerous hospital wastes. an acceptable and proper knowledge of Bio Medical Waste Management among the students of Nursing is important. Appropriate managing of health care waste is then a vital part of environmental …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article