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377 articles for “performance analytics”
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AI-Augmented Online Aptitude Exam System with Adaptive Testing, Intelligent Question Generation and Performance Analytics
Abstract: In the non-technological world, assessment is inflexible, catering for the diverse ability range of test takers which automatically leads to sub-optimal assessment, and sub-optimal engagement with the assessment. We have been developing an open source, AI-based exam system which will be able to meet these challenges. The Item Response Theory (IRT) and standard machine learning procedures are used. The system adjusts the difficulty level of the questions dynamically as per …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 48–62 Read article
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Analytical Performance Evaluation of Coherent Detection Optical Receiver over Direct Detection in OFDM Wireless Optical Communication System under Turbulent Condition
Abstract: AbstractWireless Optical (WO) communication networks have the ability to have high-speed and robust access. WO communication network output can be greatly affected by ambient conditions. Atmospheric turbulence is among the facts about the atmosphere which can reduce the reliability underneath clear sky. Earlier, orthogonal frequency division multiplexing (OFDM) in WO is reported for the design of a high-performance communication channel for the atmospheric network. Selecting a proper detection scheme in …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 1, 2020 · pp. 14–23 Read article
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The Influence of Data Analytics on Sports Performance
Abstract: Data analytics has drastically changed how we evaluate, improve, and maintain athletic performance. Coaches used to use subjective observations as well as only limited numbers of statistics to consider player performance; however, tracking technology is now advancing at a fast pace. There are now very large amounts of real-time data available on athletes in regards to speed, movement patterns, fatigue, efficiency, etc. This enables all teams to more accurately make …
Published in Recent Trends in Sports · Vol. 3, Issue 1, 2026 · pp. 15–21 Read article
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Social Media Analytics for Academic Performance of Students
Abstract: AbstractNowadays social media become the public platform around the world to discuss issues or for getting information, finding friends and many more. It is part for daily life which refers a common activity amongst children, youngsters and emerging adults. Excessive usage of social media may raise the question about the performance of students. Prediction of any event is always fascinating and very important part of the research. In this article, …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 1, 2020 · pp. 21–26 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 · pp. 1–7 Read article
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Optimizing Customer Care Centre Performance: A Data Analytics Approach
Abstract: Customer care centres are essential in today's competitive corporate environment for ensuring client loyalty and satisfaction. By utilizing data analytics approaches, one may gain important insights regarding performance overall, operational effectiveness, and customer interactions. Data analytics encompasses the analysing, interpretation, and extraction of valuable insights from data to aid decision-making and address intricate issues. Call centre analytics is the process of gathering and evaluating call data to assist companies in …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 34–49 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Data-Driven Machine Learning Approach for Vehicle Fuel Economy Prediction and Performance Monitoring Using Real-World OBD Data
Abstract: Modern passenger vehicles generate large volumes of operational data through On-Board Diagnostics (OBD) systems, enabling continuous observation of vehicle performance under real-world driving conditions. However, much of the existing research mainly analyses previously recorded data and does not provide predictive mechanisms for monitoring vehicle performance under dynamically varying operating conditions. This study presents an AI and machine learning–based method for predicting and monitoring real-world vehicle performance and fuel economy using …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 47–66 Read article
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Analytical Approach to Determine Fundamental Performance Simplified Rocket Trajectory Motion
Abstract: The natural rocket motion is just a trajectory motion if there is no special equipment assembled to deviate, and direct it follow anther root. As result, achieves maximum height or range based on design requirement. The two trajectory roots in rocket motion are A) powered trajectory motion until burn out, and B) pure trajectory motion after burn out until landing or Parachute ejection. The former condition involves two trust force …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 3, Issue 3, 2014 · pp. 10–15 Read article
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A Mechanics based Analytical Model for Evaluating the Seismic Performance of Unreinforced Masonry Building Retrofitted with Wire Mesh
Abstract: A mechanics based analytical model employing the results of experimental work is proposed for the seismic performance evaluation of low-rise unreinforced masonry buildings reinforced with steel welded wire mesh. The model is based on rigid diaphragm and weak pier-strong spandrel concept, i.e. the damages occurs in piers and spandrels remain fully elastic. Two types of failure criteria’s, namely, flexural failure and shear failure were considered. Lateral force-deformation curves are defined …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 1–7 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Advancements in Analytical Techniques and Validation Methods for Pharmaceutical Tablet Formulations Using HPTLC
Abstract: High Performance Thin Layer Chromatography (HPTLC) is a versatile analytical technique which has been effectively used for pharmaceutical quality control and cost effectively, rapidly, and high throughput analyzed tablet formulations. HPTLC is different from traditional chromatographic methods as multi sample analysis is possible in one run with low consumption of solvent, which are principles of green analytical chemistry. But existing HPTLC is limited in sensitivity, resolution and reproducibility and these …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 3, 2026 Read article
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Predicting Student Placement Readiness: A Machine Learning Approach Using Coding Activities and Multi-Dimensional Performance Indicators
Abstract: In the modern information-driven academic world, identifying student employability and placement preparedness has predicted. be made a part and parcel of academic planning and career. development. This study provides a machine learning-based. structure to evaluate and forecast student placement pre-paredness by combining various performance aspects-academic achieve- ment, coding activity, aptitude and behavioral engage-ment metrics. Multi-source was gathered and preprocessed in the study. student information, such as student records (CGPA, attendance), …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Analytical influence of soil-structure-interaction on structural performance by using ETABS
Abstract: Soil conditions have a great deal to do with damage to structures during earthquakes. Hence the study on the energy transfer mechanism from soils to buildings during earthquakes is critical for the seismic design of multi-story buildings and for upgrading existing structures. Thus, the need for research into soil–structure interaction (SSI) problems is greater than ever. Moreover, recent studies show that the effects of SSI may be detrimental to the …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 3, 2018 · pp. 1–13 Read article
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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Advanced Collaboration and Project Management Platform
Abstract: The growing dependence of employees on remote and hybrid working modes worldwide has driven a demand for modern collaborative platforms to optimize project management. All organizations are keen on solutions that enhance workflow efficiency, facilitate seamless communications, and boost overall productivity. The study presents an advancement in project management collaboration and aims at finding solutions to meet those demands, using API integration. The study explores the extent to which API …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 11–18 Read article
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Intelligent Big Data Processing: Optimizing Analytics Pipelines Through Ensemble Machine Learning, Distributed Computing, and Adaptive AI Architectures
Abstract: Traditional data analytics methods are facing significant challenges due to the explosive rise of digital data. Global data generation is expected to reach nearly 175 zettabytes by 2025. This puts significant pressure on existing computing infrastructure. Conventional analytics methods often struggle with scalability, processing speed, and smart decision-making. Rule-based systems and standalone machine learning models frequently cannot handle the complexity and scale of modern big data environments effectively. To tackle …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 1–11 Read article
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Modern Trends in Tungsten(VI) Analysis: From Smart Organic Reagents to High-Sensitivity Spectrophotometry
Abstract: The present review focuses on the spectrophotometric determination of tungsten(VI) using a wide range of organic reagents and their derivatives. Organic ligands have gained considerable importance in analytical chemistry due to their strong ability to form stable and highly colored complexes with tungsten(VI), which enhances the sensitivity and selectivity of spectrophotometric analysis. Various chromogenic reagents reported in the literature for tungsten(VI) determination have been critically examined and compared on the …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 19–29 Read article
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Advancements in Polymeric Capillary Materials for Chromatographic Applications
Abstract: Traditionally, glass capillaries have been the material of choice due to their inertness, transparency, and precision in delivering small sample volumes. However, glass capillaries have significant drawbacks, including fragility, limited flexibility, and difficulties in modification for specialized applications. Recent advancements in polymer chemistry have introduced novel polymeric capillary materials that offer several advantages over conventional glass capillaries. Additionally, they exhibit enhanced durability and resistance to a broad range of chemicals, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 137–144 Read article
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article