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212 articles for “analytical evaluation”
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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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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
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Fortifying the Cloud: AI-Driven Security Paradigms and Evolving Threat Defenses in Modern Cloud Computing
Abstract: Organizations worldwide are raising their concerns about security maintenance while cloud computing expands rapidly to serve as a digital transformation foundation. The study explores modern cloud security patterns while also evaluating how artificial intelligence modifies the identification and evaluation of complex cyber threats along with their prevention methods. New security threats such as insider operations and DDoS attacks and data breaches alongside insecure APIs can be detected through machine learning …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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IoT Based Electricity Theft Detection System
Abstract: The proliferation of smart grids and advanced metering infrastructure has paved the way for innovative solutions to tackle the longstanding issue of electricity theft. This study presents an IoT-based electricity theft detection system that leverages real-time data analytics and machine learning algorithms to identify potential theft cases. The proposed system utilizes smart meters to collect electricity consumption data, which is then transmitted to a central server for analysis. The system …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 18–22 Read article
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Breast Cancer Detection Using Machine Learning: A Comparative Analysis of Supervised Learning Algorithms
Abstract: Globally, breast cancer remains a predominant cause of mortality among women, highlighting the urgent need for timely and precise diagnostic approaches. This research explores the application of machine learning algorithms—including Logistic Regression, SVM, Naïve Bayes, KNN, and Random Forest—on the Wisconsin Breast Cancer Dataset for effective tumor classification. Key pre-processing steps such as missing value handling, feature scaling, and dimensionality reduction were employed to improve model performance. The study evaluated …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 46–52 Read article
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Revolutionizing Optical Fibre Field Distribution with Linear Finite Element Method
Abstract: This study investigates the use of the linear Finite Element Method (FEM) for the analysis of the field distribution in optical fibres. Understanding the distribution of electric and magnetic fields is necessary to characterise fibre properties including mode profiles, propagation constants, and dispersion, all of which are essential for optimising fibre performance in a range of applications like sensing and telecommunications. This study emphasises on applying a linear FEM formulation …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 32–42 Read article
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Comparative Performance Assessment of Shear Wall and Diagrid Systems in an Octagonal Tall High-Rise Building under Seismic and Wind Loads
Abstract: The increasing demand for high-rise structures due to rapid urbanization necessitates the adoption of efficient lateral load-resisting systems to ensure structural safety, stability, and serviceability. This study presents a comparative evaluation of the seismic and wind performance of a Ground plus Fiftystorey high-rise building with an octagonal plan, incorporating different structural configurations such as shear wall arrangements and a diagrid system. A total of six analytical models, including a conventional …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 Read article
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The Augmented Role of DIF on Diagnosis of Glomerular Disease in a Study in Northern Part of Bangladesh
Abstract: Introduction: Direct immunofluorescence (DIF) study is an important investigation tool for the accurate diagnosis of glomerulonephritis (GN). This study was aimed to evaluate the pattern of glomerular diseases in the northern part of Bangladesh and to see the advanced role of DIF over light microscopic (LM) findings for accurate diagnosis of various glomerular diseases. Methods: This cross-sectional analytical study was carried out in the department of nephrology of Rangpur medical …
Published in Research and Reviews : A Journal of Immunology · Vol. 8, Issue 3, 2018 · pp. 32–36 Read article
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To Evaluate the Effect of Vehicle Aerodynamics on the Drive Layout of Vehicle
Abstract: Nowadays, with the increase in competition in automobile sector, vehicle aerodynamics play an important role. Aerodynamics affects the performance of the vehicle due to changes in parameters such as downforce, drag forces and coefficient of drag which play a significant role at high speed. In this research paper downforce and drag force of vehicle are determined by analytical and numerical analysis of flow of air around it. For modeling of …
Published in Trends in Machine design · Vol. 5, Issue 3, 2018 · pp. 54–63 Read article
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Development of a Blockchain-Based System for Drug Counterfeiting and Traceability in the Pharmaceutical Supply Chain
Abstract: Counterfeit drugs present a major risk to public health and pose a substantial threat to the pharmaceutical industry, leading to severe economic losses and risking patient lives. Ensuring the safety and authenticity of the pharmaceutical supply chain is critical to addressing this issue. This study presents a novel approach for enhancing the security and authenticity of the pharmaceutical supply chain through the integration of blockchain technology, decentralized storage, and artificial …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 99–114 Read article
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Exploring the Therapeutic Potential of Ilāj-Bil-Ghizā (Dietotherapy) in Depression: A Systematic Review
Abstract: Background: Depression is a common mental health condition characterized by feelings of sadness, diminished interest in activities, and physical symptoms that disrupt daily activities functioning. Emerging research indicates that nutrition and dietary habits can significantly influence the management of depression. This review aims to explore the connection between diet and mental health, highlighting how nutritional approaches may complement traditional treatments for depression. Objective: This review aims to evaluate the relationship …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Seismic Analysis of G+10 Building With and Without Zipper Brace Frame
Abstract: This paper presents a seismic analysis of a G+10 building with and without Zipper Brace Frame (ZBF). The research begins with a detailed literature review, investigating the existing seismic-resistant techniques employed in high-rise buildings. The Zipper Brace Frame is introduced as an innovative system that has shown promising results in enhancing seismic performance while maintaining architectural aesthetics. Two analytical models are created: one without bracing systems and the other incorporating …
Published in Journal of Structural Engineering and Management · Vol. 10, Issue 3, 2023 · pp. 27–34 Read article
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Comparative Performance Assessment of Shear Wall and Diagrid Systems in an Octagonal Tall High-Rise Building under Seismic and Wind Loads
Abstract: The increasing demand for high-rise structures due to rapid urbanization necessitates the adoption of efficient lateral load-resisting systems to ensure structural safety, stability, and serviceability. This study presents a comparative evaluation of the seismic and wind performance of a Ground plus Fifty-storey high-rise building with an octagonal plan, incorporating different structural configurations such as shear wall arrangements and a diagrid system.A total of six analytical models, including a conventional bare …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 42–60 Read article
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Performance and Analysis of 6T, 8T & 10T SRAM Cell in 28nm Technology
Abstract: Technology scaling into deep sub-micron regimes has significantly increased the design challenges of Static Random Access Memory (SRAM), particularly at the 28 nm technology node. As transistor dimensions shrink, SRAM cells become more vulnerable to stability degradation, leakage current, process variations, and reduced noise margins, which adversely affect overall memory performance and reliability. The conventional 6T SRAM cell remains widely used due to its compact structure and high storage density; …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 12–18 Read article
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Investigation on Structural Behavior of RC Beam-Column Joints: State-of-the-art
Abstract: Beam-column joints (BCJs) are critical structural elements in buildings, influencing overall structural performance and safety. This review paper presents a comprehensive analysis of findings of research showing concern about various aspects of BCJs, focusing on eccentricity effect, numerical investigation, joint behavior, shear strength, retrofitting strategies, and recent advances. Through experimental studies, numerical simulations, and analytical approaches, various studies have made significant progress in understanding BCJ response to various loading circumstances …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 40–68 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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CFD Based Simulations on CL-CSP System
Abstract: The current study deals with research on CL-CSP plant system carried out analytically. The research also includes CFD based simulations among three models, mainly model 1, model 2, and model 3. Model 1 consists of straight pipe; Model 2 consists of Zig-zag pipes and Model 3 consists of helical pipes. The results were evaluated for heat flux, outlet temperature, velocity gradients, turbulent, eddy viscosity etc. under the conditions for presence …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 24–33 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career
Abstract: This study was aimed at predicting students' academic achievement based on emotional intelligence of personality traits, attitudes to education and future career. The present study was a correlational-analytical study. The statistical population of Zanjan University students in the academic year of 1395-1395 was the sample of 489 people selected by cluster random sampling method. Academic Resilience Scale (ARI) and Schotte Emotional Intelligence Questionnaire and Researcher Attitude Questionnaire were used to …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 25–36 Read article