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56 articles for “time-series evaluation”
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Controlled Temporal Feature Ablation and Explainable Ensemble Learning for Next- Hour Residential Electricity Forecasting
Abstract: Short-term residential load forecasting is increasingly used in demand response, home energy management, and data-driven grid operation, yet reported gains are often difficult to attribute to either the forecasting algorithm or the temporal representation supplied to it. This study presents a controlled, leakage-aware evaluation of temporal feature engineering for one-hour-ahead household electricity forecasting. The public UCI Individual Household Electric Power Consumption dataset was aggregated to hourly resolution, causally imputed using …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 Read article
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Decision Fusion Approaches to Spatiotemporal Change Prediction in Satellite Images: A Comparative Study
Abstract: Predicting changes in satellite images remains one of the major challenges in the remote sensing field. However, this process is usually accompanied by several imperfections leading sometimes to erroneous decisions. In order to solve this problem, we propose to introduce knowledge discovery methods to improve the prediction process in satellite images and to decrease the associated imperfections. The proposed approach addresses this issue through the use of two fusion methods …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 2, 2012 · pp. 13–23 Read article
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Unani Medicine and Yoga Therapy in the Management of Primary Dysmenorrhea: A Case Series
Abstract: Dysmenorrhea is the most common gynaecological disorder in adolescent women, as the incidence of dysmenorrhea is highest with estimates ranging from 20 to 90%. Recurrent short-term school absence is the leading cause of dysmenorrhea in adolescent girls. Curative options in conventional medicine for dysmenorrhea include NSAIDS, oral contraceptives and surgical interventions, but because of the adverse effects, of NSAIDS and OCPs more and more patients are opting for alternative methods …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 7, Issue 2, 2018 · pp. 15–19 Read article
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Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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Three Techniques for DC Thevenin Resistance Using Pspice Simulation
Abstract: A time-domain method for certain types of excitations is proposed to determine Thevenin equivalent circuit for a circuit with resistors and dependent/independent sources. SPICE/Pspice model descriptions for resistors at constant temperature and dependent source are used. Instead of making the energy sources zero (as in frequency domain) the sources in time domain are described using model description cards available for time-domain current/voltage sources at the same time evaluating circuit for …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 1–8 Read article
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Web Mining Competitors Analyses for Frequent Unstructured Dataset Using Pattern Mining Utility Incremental Ranking Results Based on Query Process
Abstract: Abstract Nowadays, the mining competition in the market requires best approach fir every company to distinguish not only which companies are its primary competitors but also in whichdomains the company’s rivals compete with itself and what its competitors’ strength is in a specific competitive domain. The task ofcompetitor mining that we address in the paper includes mining all the information such as competitors, competing domains, andcompetitors’ strengthproblems which potential privacy …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 3, 2018 · pp. 38–46 Read article
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Feedback Based Three Finger Robotic Gripper
Abstract: This research presents the development and validation of a novel three-finger robotic gripper system enhanced with force feedback capabilities. Leveraging Force-Sensing Resistor (FSR) sensors and servo actuators, the gripper is engineered to dynamically adjust its grasp based on real-time force feedback. Through a series of iterative design iterations and experimental validation, the gripper demonstrates robustness and adaptability in various gripping scenarios. The integration of force feedback allows the gripper to …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 11–17 Read article
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Health Benefits of Natural Products to Overcome Digestive Problems
Abstract: Digestive health is an indicator of proper laxation and proper functioning of the gastro-intestinal system. Digestion-related problems not only lead to/give discomfort, but also pave way for more serious manifestations, which may either last for some time or prolong till lifetime or in some cases end fatal. The drugs which help in relieving certain digestive problems, mainly flatulence, are carminative and most of the spices and evaluating the effectiveness of …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 4, Issue 2, 2015 · pp. 33–40 Read article
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Modelling and Evaluation of Kinetics of Methane Chlorination using Matlab Techniques
Abstract: The chlorination of methane follows series-consecutive reaction mechanism to yield the chloromethanes products. The equation of reaction comprised of four consecutive step chemical reaction equations. The kinetics model for chlorination of methane into monochloromethane, dichloromethane, trichloromethane and tetrachloromethane was developed from the chemical reaction equations. In the elementary rate equation, the concentration of chlorine was assumed to be in excess, reducing the model to first order kinetics. The developed model …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 2, 2020 · pp. 31–36 Read article
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Design and Development of a Mini Drone for Educational Applications
Abstract: This paper describe the complete process of designing, building, and testing a small unmanned aerial vehicle (UAV), normally referred to as a drone. The plan combines key concept from aerodynamics, electronics, control engineering, and embedded programming to produce a functional sample. The drone was developed using trivial structural materials and affordable components, including brushless DC motors, electronic speed controller (ESCs), a flight controller, various sensors, and a lithium-polymer (Li-Po) battery. …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–7 Read article
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Assessing the ARIMA Model for Estimating Monthly Solar Irradiance from Approximated Daily Data in Uyo, Nigeria
Abstract: This study assesses ARIMA models for capturing, predicting, and visualizing solar irradiance patterns in Uyo, Nigeria. Previous studies specific to Uyo solar irradiance forecasting explored regression models, which are not suitable for advanced analysis. This gap presented a challenge for accurate energy forecasting, grid integration, and planning. This study utilizes a dataset of approximated solar irradiance values, trained and tested on ARIMA for suitability. The methodology comprises the study location …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 · pp. 65–72 Read article
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Trend Analysis of Research on Arsenic Pollution in West Bengal, India
Abstract: West Bengal is one of the worst affected states in India in terms of arsenic pollution. Nine out of its nineteen administrative units are severely affected, five moderately affected and a population of over 28 million suffers from the maladies of arsenic pollution. The problem, reported initially in 1978, was clinically detected for the first time in 1983. It gained importance as an issue of concern in the late 80s …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 4, Issue 3, 2014 · pp. 25–42 Read article
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Eco-friendly Azadirachta Indica Ash and Miscanthus Fiber Brick for Carbon Neutrality Environment
Abstract: Naturally grown fiber are not utilized properly they are neglected as wastes. These resources are thrown away due to insufficient research being conducted to discover viable uses for naturally existing fibres. These byproducts have a wide variety of applications in the manufacturing sector, notably in the construction sector. The prospective applications of miscanthus fibre, which may be found growing wild in uncultivated places, are investigated in this research. The production …
Published in Journal of Polymer & Composites · Vol. 10, Issue 4, 2022 Read article
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A Study to Assess the Effectiveness of Body Mechanics Training Programme on Reducing Low Back Pain Among Nursing Officers Working in Selected Hospitals, Bangalore
Abstract: Background: Low Back Pain (LBP) is a common work related injury and costly problem among the nursing profession. Numerous studies indicate a greater occurrence of back pain and work-related back injuries among nursing officers in comparison to other occupations. Prevention of LBP is a very important technique to maintain proper body mechanics. This study aimed to assess the effectiveness of body mechanics training programme on reducing low back pain among …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 2, Issue 1, 2024 · pp. 29–62 Read article
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Onepot Multi-component Synthesis, Characterization and Biological Applications of Dicationic Ionic Liquids
Abstract: A series of dicationic ionic liquids have been prepared and confirmed with FT-IR, 1H NMR,13C NMR,31P NMR as well as High resolution mass spectroscopy impact technique. The present methodology possesses more advantages such as high yields, simple procedure, short reaction times and mild conditions. All the synthesized compounds were evaluated for their antimicrobial activity based on zone of inhibition. The ionic liquid, 4-butane diaminium NI,NI,NI,N4,N4,N4 hexapropyl dibromide was exhibited remarkable …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 11, Issue 2, 2020 · pp. 16–39 Read article
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Evaluating the Effectiveness of an Informational Booklet on Health Hazard Awareness of Plastic Waste Among Rural Residents in Selected Communities of Kanpur, Uttar Pradesh
Abstract: Plastic has revolutionized the world with its lightweight and strong properties, making it indispensable in daily life. We interact with plastic objects countless times each day. Scientific advancements have yielded considerable advantages, yet they are accompanied by notable drawbacks, particularly concerning plastic. The harmful effects of plastic are profound, posing a serious environmental threat. Failure to enforce control measures could lead to catastrophic consequences from plastic pollution. Frequently, insufficient awareness …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 38–44 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article