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184 articles for “Adaptive testing”
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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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Linseed Released Varieties Adaptation Trial at Sidama and Hadya Zones of Ethiopia
Abstract: Among oil crops, linseed is the third important commodity next to sesame (Sesamumindicum L.) and noug (Guizotiaabyssinica Cass.) in Ethiopia. Testing the adaptability of a variety over diverse environments is commonly evaluated by the degree of its interaction with different environments in which it is grown. An evaluation experiment was conducted in three districts, namely, Bule (Gedeo zone), Dara (Sidama zone) and Hosanna (Hadiya zone), Southern Ethiopia, during 2018 and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 9, Issue 3, 2020 · pp. 10–14 Read article
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The Role of Adaptive Physical Education in Improving Quality of Life for Disabled Individuals
Abstract: The purpose of this paper is to analyze the effectiveness of Adaptive Physical Education (APE) in enhancing the quality of life of disabled students at Punjabi University, Patiala. APE refers to an interface that is mainly aimed at the person with disabilities’ physical and psychological characteristics, which enable the original physical activities to be adapted to the disabled person's nature and rounded by conductive physical health examinations, fitness tests, and …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 1–9 Read article
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Synapse: Enhancing Collaborative Learning Through Adaptive Real-Time Communication for Educational Environments
Abstract: Synapse is a cutting-edge, real-time collaborative learning platform developed to overcome some of the most pressing challenges faced by current online education systems, such as limited student interaction, lack of engagement, and insufficient opportunities for real-time communication. By integrating a combination of tools such as video conferencing, instant messaging, and interactive social media-style features, Synapse promotes active participation and peer-to-peer collaboration among learners. One of the platform’s standout features is …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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Evaluating improved Irish Potato varieties for the yield and agronomic traits in Southwest region of Ethiopia.
Abstract: Despite making substantial contributions to food security, revenue production, the provision of food energy, and the preservation of the resource base, the food potential of horticulture crops, particularly that of root and tuber crops, has not yet been fully tapped and utilized. In order to determine the optimal high yielding, pest and disease resistant/tolerant variety(ies) for the target area, the experiment was conducted to test the adaptability of enhanced potato …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 2, 2023 · pp. 7–12 Read article
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Genotype by Environment Interaction and Grain Yield Stability Analysis for Bread Wheat (Triticum Aestivum L.) Genotypes in Southern Ethiopia
Abstract: The productivity of bread wheat varieties affected by many factors including the agro-ecology of the growing area. It is important to test the adaptability and yields of released varieties in multi-location for their productivity. This study was designed to evaluate the yield potential and stability of bread wheat varieties across locations. A total of fourteen recently released bread wheat varieties were evaluated during 2019 and 2020 main cropping seasons at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 11, Issue 1, 2022 · pp. 1–6 Read article
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Potato Varieties Adapted to Selected Woredas of Gamo Zone and Dirashe Woreda
Abstract: The study was conducted at three locations (Chosha, Yelagnaw Arguba and Zazie) for two consecutive years. It was carried out to evaluate and select high yielding, potato varieties for study areas and areas with similar agroecologies. The experiment consisted of eight potato varieties (six released varieties and two local checks). The study was conducted using a Randomized Complete Block Design with three sets of repeated measures. The combined analysis of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 1, 2024 · pp. 33–40 Read article
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Leveraging Generative AI for Test Case Creation in Complex Systems
Abstract: Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality. Traditional manual testing approaches often struggle to keep pace with this complexity, leading to inadequate test coverage and increased risk of unforeseen issues. This study explores the potential of Generative AI (GAI) in revolutionizing test case creation for complex systems. We delve into the practical application of GAI techniques, such as Variational Autoencoders (VAEs) and …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 16–22 Read article
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A Reproducible Low-cost Adaptive Cruise Control Platform with Lidar–Ultrasonic Sensor Fusion and Timer-conflict-free Servo-Scanned Blind-spot Detection on Arduino UNO
Abstract: Road traffic deaths caused by driver distraction and inadequate surroundings remain a big problem for preventable deaths. This paper talks about designing and testing an affordable, easy-to-copy Adaptive Cruise Control (ACC) system. It uses LiDAR-ultrasonic sensors to figure out how far things are in front of the car, and a servo-actuated, dynamically scanned blind spot detector. All of this runs on a single Arduino Uno. To measure front distance, they …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 2, 2026 · pp. 58–70 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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Disease X: Unveiling the Unknown Pathogen and Enhancing Global Preparedness
Abstract: “The concept of “Disease X” was introduced to drive the creation and refinement of versatile technologies such as vaccines, therapeutic drugs, and diagnostic tests, which could be swiftly adapted and utilized in response to future infectious disease outbreaks with epidemic or pandemic potential. The aim was to establish a proactive approach to emerging health threats by developing platform technologies capable of addressing a broad spectrum of potential pathogens. The COVID-19 …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 3, 2024 · pp. 15–20 Read article
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Classification of PQ Disturbances in Induction Motor using Neuro-Fuzzy
Abstract: This paper presents a methodology of classification of PQ disturbances in the supply to induction motor using ANFIS. Wavelet transform is applied to the stator currents for the extraction of the signature indicating the variations in the supply. These wavelet coefficients are fed as input to ANFIS. This data has been divided into two sets: 37 training data set and 38 testing data set. The training data set has been …
Published in Current Trends in Signal Processing · Vol. 6, Issue 2, 2016 · pp. 1–8 Read article
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Software Testing Techniques in Cloud Computing: A Survey
Abstract: AbstractCloud computing is the following phase of the internet advancement. Cloud depends on sharing of assets to accomplish rationality over web. Cloud emerged as new registering standard that affects a few distinctive research field, including programming testing condition. There are different programming methods utilized for testing application condition. Cloud not just changes the method for getting figuring assets, it also additionally changes the method for overseeing and conveying processing administrations, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
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Remote Controlled Boat for Hyacinth Removal
Abstract: This research focuses on the design and production of Hyacinth infestation poses a significant ecological and economic challenge in many aquatic ecosystems, causing disruptions in water quality, biodiversity, and water transportation. To address this issue, we have developed a remote-controlled boat specifically designed for hyacinth removal. This innovative solution leverages the capabilities of autonomous watercraft, equipped with advanced sensors and a specially designed cutting mechanism, to efficiently and effectively manage …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 20–26 Read article
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Fracture Toughness in Advanced Materials: A Comparative Review of Testing Methods and Standards
Abstract: Fracture toughness is a key material property used to assess a material's ability to resist crack propagation, which is vital for ensuring the reliability and durability of structures and components in high-performance applications. It is particularly important in advanced materials such as composites, ceramics, and high-strength alloys, which are increasingly used in demanding industries such as aerospace, automotive, and civil engineering. Fracture toughness testing helps determine the material's behavior under …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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Ni-MH Battery Dynamic Model with Reversible DC Machine and a Constant Load for Electric Vehicle Applications
Abstract: The global issues like fossil fuel burning and pollution created have become a headache for the whole world, and therefore the Electric Vehicles (EV) are getting high attention. This paper deals with the Ni-MH battery model for the EV applications. The model described in the paper is entirely dynamic. A test bench is created in the Matlab/Simulink® for the dynamic battery model. Few tests were conducted to prove the adaptability …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 30–37 Read article
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Revolutionizing Software Engineering: Harnessing AI-driven Continuous Integration for Seamless Collaboration and Rapid Development
Abstract: In the dynamic landscape of software engineering, this paper introduces a revolutionary approach by integrating artificial intelligence (AI) into continuous integration processes. The research aims to redefine software development methodologies, leveraging AI-driven continuous integration (AI-CI) to enhance collaboration among development teams and accelerate software development cycles. The comprehensive study delves into the theoretical foundations and practical implications of AI-CI. The integration involves infusing AI algorithms into the continuous integration pipeline, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 45–60 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article
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The Intelligibility in Context Scale in Tamil—Reliability and Validity Measures
Abstract: Objective: The Intelligibility in Context Scale (ICS) was originally developed by Sharynne McLeod, Linda J. Harrison and Jane McCormack in 2012. It is a 7 item parent-rated questionnaire designed to assess speech intelligibility in very young children using a quantitative score out of 5. It is intended to supplement other clinical measures of speech intelligibility in providing a comprehensive picture of the speech of children with several speech impairments (speech …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 16–21 Read article
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Key Generation Algorithms Using Difference Equations with Multi-Precision Arithmetic: A Review
Abstract: Modern cryptographic systems rely on robust key generation to secure data and communication. This review explores the integration of difference equations and multi-precision arithmetic for cryptographic key generation, addressing limitations in traditional methods like pseudorandom number generators and chaotic systems. Difference equations produce deterministic yet chaotic sequences ideal for cryptography due to their sensitivity to initial conditions and nonlinearity. However, finite precision arithmetic can lead to periodicity and loss of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 23–36 Read article