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125 articles for “Test data generation”
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Development and Evaluation of Neural Network Model for Incident Detection on Urban Arterials using Simulated Database
Abstract: Incident detection in urban arterial situation is more difficult than the similar job in freeway situation because of the presence of traffic signals and other intersections with associated recurrent queue. Most of the earlier automatic incident detection algorithms address mainly freeway situation. This study aims at development, calibration, validation and testing of an ANN model for incident detection in Kuala Lumpur (KL) arterials using simulated incident database. Database for the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 1–14 Read article
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3D-QSAR and Molecular Docking Studies of Triazol-Cycloalkanol Derivatives Used as Potent 3-Dehydroquinase II Inhibitors Against Mycobacterium tuberculosis
Abstract: Tuberculosis is a life threatening infectious disease caused by gram positive bacteria mycobacterium tuberculosis. Emergence of drug resistance, multi drug resistance and extensively drug resistance strain of mycobacterium make the situation more worst. It increases the mortality rate of tuberculosis patient, time duration and cost of treatment. Various inhibitors and drug molecules are designed to combat this fatal disease. Enzymes of shikimate pathway are responsible for production of essential amino …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 5, Issue 3, 2015 · pp. 18–28 Read article
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Cancer biology and Sequencing technology: A new era for personalized patient care.
Abstract: Cancer is one of the most deadly diseases causing high mortality around the world. Lot of efforts are being made to be able to device a proper treatment for cancers. The majority treatments for various types of cancers comprise of surgery, radiation, chemotherapy, hormone therapy, immune therapy, and targeted therapy. These methods of treatment may not be fully able to get rid of cancer but able to extend the life …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 3, 2017 · pp. 1–14 Read article
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HIDDEN MARKOV MODEL FOR DETECTION AND PREVENTION OF SQL INJECTION ATTACKS
Abstract: Web application have become un avoidable part in day to day life. Online activities such as banking, ecommerce, social networking etc., and these application stored in a back end of the database. It is very sensitive and confidential data, as because it might be get attacked. So security of Web database becomes an important thing. Most of the existing system have drawback such as it take more resources and times, …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 15–19 Read article
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Geospatial Depiction of Groundwater Level Disparities on a Temporal Component over Portions of Cuddapah District, India Using Contemporary Geo Tools and Interrelated Statistics
Abstract: This paper mainly focuses on comparing methods such as Deterministic methods, Geostatistical methods and Interpolation methods in order to obtain a good fit to represent groundwater level disparities existed in the study area from 1996 to 2015. Inverse Distance Weighting, Global Polynomial Interpolation, Radial Basis Functions, Local Polynomial Interpolation, Kriging, Empirical Bayesian Kriging, Kernel smoothing and Diffusion Kernel were the methods tested for the present study. The data set procured …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 13–29 Read article
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A Common Mode Scan Based BIST for Stuck-at-Fault and Path Delay Fault
Abstract: Testing for delay and stuck-at faults requires two pattern tests and test sets are usually large. Built-in self-test (BIST) scheme is attractive for comprehensive testing. The BIST test pattern generators (TPGs) for such testing should be designed to ensure high pattern-pair coverage. In the proposed work, necessary and sufficient conditions to ensure complete/maximal pattern-pair coverage for sequential circuit have been derived. A new test data-compression scheme is an effective approach …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 72–78 Read article
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Quantitative Research on Gen Z Slang Terms for a Diverse Group of People
Abstract: This study objective is to determine the various individuals who employed vocabulary connected with Generation Z and to discover who those persons were. Through the use of Google forms, twenty Gen Z slang terms associated were posed to the various participants for testing. The data are collected from the participants by the researcher through the use of Google Forms, and the researcher is the one who is responsible for developing …
Published in Emerging Trends in Languages · Vol. 1, Issue 1, 2024 · pp. 24–31 Read article
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COVID-19 Resurgence in 2025: India’s Continuing Public Health Challenge
Abstract: The year 2025 has witnessed the resurgence of COVID-19, reigniting concerns at both global and national levels regarding the persistent threat posed by SARS-CoV-2. In early 2025, India witnessed a moderate resurgence of COVID‑19, characterized by the emergence of Omicron sub-variants and a rise in mild-to-moderate infections. As of mid-June, active COVID‑19 cases in India totaled approximately 6,000–7,400, with hotspots in Kerala (~2,100 cases), Delhi (~600), Maharashtra (~500), and several …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 16–23 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Testability Techniques Used in Different Design Environment for Improving Fault Efficiency
Abstract: The paper provides an overview of automatic creation of test patterns using different design for testability techniques (DFT). The main intent is to collect the data from specification, design and completely different synthesis environment and then applying various test conditions which aims at to reduce the time required for test case generation and also to relieve the designers from much tedious task. Increasing size and complexity of digital designs has …
Published in Recent Trends in Programming languages · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Generating Weights for Fuzzy Decision Making Mechanism to Diagnose Heart Disease
Abstract: AbstractHeart disease is one of the diseases spread around the world. It suddenly kills the human community. So use of fuzzy logic to diagnosis the heart disease is essential. So the study was conducted with the following components. They are fuzzification, fuzzy decision making mechanism and defuzzification. The crisp values are changed into fuzzy values by fuzzification. Fuzzy decision making mechanism is based on adaptive neuro fuzzy inference system which …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 7–13 Read article
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A Study to Assess the Effectiveness of Information Booklet Regarding DOTS Therapy among the Tuberculosis Clients in a Selected Primary Health Centre
Abstract: The purpose of the study was to assess the effectiveness of information booklet regarding DOTS therapy among the tuberculosis clients in a selected primary health centre. The design used for this study was quasi experimental one group pre-test without control group with evaluative approach. Simple random sampling technique was used to select the sample for the study. The data were collected by using structured questionnaire from 60 tuberculosis clients before …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 3, 2017 · pp. 29–33 Read article
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Confident but Wrong: A Lifecycle Analysis of Hallucination in Large Language Models Understanding AI's Confidence Problem
Abstract: A Large Language Model (LLM) is likely to produce sentences that are fluent and confident in many instances, but completely wrong. In many cases a Large Language Model (LLM) will produce a fluent and confident sentence that is completely incorrect. This review tries to analyze this phenomenon using the most recent literature regarding natural language generation, computational learning theory and benchmark experiments. The argument is that it is not a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Review of Deep Learning in Medical Imaging
Abstract: In the past few years, computer-aided analysis has fallen quickly behind. Organ categorization and segmentation is a key stage in computer-aided diagnosis. In recent years, there has been a lot of interest in the division of abdominal organs such as the liver, stomach, kidney, pancreas, and bladder from various picture modalities. Radiologists or medical specialists analyze abdominal pictures the majority of the time. Due to subjectivity, intricacy of the picture, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 16–24 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Information Seeking Behaviour of Faculty Members of Senior Colleges in Malshiras Taluka: A Study
Abstract: This paper deals with Information Seeking Behaviour of Faculty Members of Senior Colleges in Malshiras taluka: A Study. The man is a thinking animal so various kinds of thought and ideas are created in his mind. This human mind is a generator of ideals. These thoughts and ideas are based on certain facts which are derived by continuous observations and experiences. When these facts hold the test of time, they …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 106–110 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1258–1284 Read article
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FPGA-based Multichannel Digital Duty-Cycle Modulation and Application to Simultaneous Generation of Analog Signals
Abstract: The DCM (duty-cycle modulation) is used in industrial electronics as a special technique for producing switching time-varying periodic waves, with variable pulse width and modulation period. As an implication, unlike the fixed period of a PWM wave, the cyclic ratio of a DCM signal changes as a function of the modulating input according to a known function. However, most existing research works related to DCM-based instrumentation systems, are limited to …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 23–35 Read article
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Topic Detection in Tweets using Hashtags
Abstract: Data clustering is a common technique used for topic detection and identification in text. In this paper we propose tokenizing of hashtags as an effective and efficient way of generating bags of words for tweets (text messages on Twitter). The document- term matrix generated using these terms is smaller and more relevant compared to the full text tokenization. Tweets from the 2018 Oscars event tagged with #oscars hashtag were collected …
Published in Recent Trends in Programming languages · Vol. 5, Issue 2, 2018 · pp. 6–14 Read article
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CogniLeapAI: An Adaptive Personalized Learning Platform with AI-Powered Content Generation, Active Recall, and Intelligent Study Planning
Abstract: Students today must work through large volumes of academic PDFs with little tooling to support effective learning. Passive reading remains the default approach for most learners, yet it consistently produces poor retention and demands excessive preparation time. This paper presents CogniLeapAI, a web-based platform designed to convert static PDF documents into a closed-loop adaptive learning system. AI requests are routed across four providers (Google Gemini, OpenRouter, LaoZhang, and Kie.ai) with …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 45–63 Read article