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352 articles for “log data”
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Pregnancies, Abortion and Women’s Reproductive Health in Rural Haryana, India
Abstract: In this study women’s reproductive health has been examined according to the number of pregnancies, gestational stage of abortion, and number of abortions among the rural women of Haryana, India by analysing data from an in-depth interview of 329 ever-married women conducted in five villages of Haryana state of India during the year 2003. We found abortion at late gestational stage significantly deteriorates women’s reproductive health. More number of abortions …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 3, 2013 · pp. 29–38 Read article
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Pregnancies, Abortion and Women’s Reproductive Health in Rural Haryana, India
Abstract: In this study women’s reproductive health has been examined according to the number of pregnancies, gestational stage of abortion, and number of abortions among the rural women of Haryana, India by analysing data from an in-depth interview of 329 ever-married women conducted in five villages of Haryana state of India during the year 2003. We found abortion at late gestational stage significantly deteriorates women’s reproductive health. More number of abortions …
Published in Journal of Nursing Science & Practice · Vol. 3, Issue 1, 2013 · pp. 29–38 Read article
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Pressure Data Analysis and Multilayer Modeling of A Gas-Condensate Reservoir
Abstract: Kailastila gas field located at Golapgonj, Sylhet, is one of the largest gas fields in Bangladesh. It produces a high amount of condensate along with natural gas. For the high values of GOR, it may be treated as a wet gas at reservoir condition. Three main sand reservoirs are confirmed in this field (upper, middle and lower). In this study, it has been shown that reservoir parameters of this gas …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 7–15 Read article
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Role of AI in waste reduction and energy efficiency
Abstract: Artificial Intelligence (AI) is a significant factor in today’s global trends toward sustainability, as it enables waste reduction and energy optimization. Sustainability is now a strategic priority for many manufacturers, local governments, and logistics companies due to the rising environmental awareness and regulatory pressures. This paper explores the role of AI in facilitating waste management, smart grids, and industrial maintenance and reviewing the existing literature on AI-driven recycling, e-waste management, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 2, 2026 · pp. 43–48 Read article
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ML Analysis of Factors Affecting Vaccination in Rural Children: A Machine Learning Approach
Abstract: Vaccination remains one of the most effective public health interventions for preventing childhood diseases, yet rural regions in India continue to experience uneven immunization coverage due to multiple socioeconomic and geographic barriers. This research applies machine learning techniques to identify and analyze the major determinants influencing childhood vaccination uptake in rural communities. The study utilizes survey-based demographic, socioeconomic, and healthcare-related parameters to build predictive models that classify children as vaccinated …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 Read article
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Revolutionizing Urban Traffic Management: An AI and Multi-Agent System Approach Leveraging IoT Technology
Abstract: Our study addresses the challenging issue of traffic congestion in modern urban areas and the limitations of traditional solutions like road expansion and network indicators. To effectively tackle traffic congestion, the study explores various strategies that analyze traffic elements, falling into the Macroscopic and Microscopic Models. However, conventional traffic modeling faces significant challenges in dealing with complex traffic systems.Artificial Intelligence (AI) techniques, including fuzzy logic, evolutionary algorithms, neural networks, and …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article
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Smart AI-Enhanced Tool for Comprehensive Mock Interview Practice
Abstract: Job seekers often struggle with interview preparation due to a lack of structured practice, real-time feedback, and a realistic interview environment. Traditional methods, such as self-practice or mock interviews with peers, may not provide an accurate assessment of a candidate’s readiness for real-world job interviews. This research work introduces an AI-based mock interview tool designed to enhance skills based on a user's job profile. The platform is built using React …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 20–25 Read article
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PLC Based Smart Car Parking Barrier System
Abstract: This research paper presents an innovation of PLC-based smart car parking barrier system that is intended to improve parking management and security in urban areas. To effectively control the space efficiently & enhance the reliability of the parking system. PLCs (programmable logic controllers) are the foundation of the system, and sensors are connected to enable automated vehicle entry and exit. In this case, the up and down mechanism of barriers …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 34–38 Read article
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Evaluation of Awareness, Perception and Utilization Towards Emergency Contraceptive among Female Students in Private College at Bahir Dar, North West Ethiopia, 2014
Abstract: Emergency contraception refers to a group of birth control modalities that when used after an unprotected intercourse or contraceptive failure within defined time limits can prevent an unwanted pregnancy. It used to prevent unintended pregnancies among adolescent girls. Evaluation of awareness, perception and utilization towards emergency contraceptive among female students is studied at Bahir Dar private colleges. An institution cross sectional study design was conducted among 616 female adolescents. The …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 5, Issue 1, 2016 · pp. 38–45 Read article
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Indian Entrepreneurs' Role in E-Commerce
Abstract: The e-commerce industry in India has experienced unprecedented growth as a result of the rapid penetration of the internet, the availability of affordable telephones, and the shifting behaviors of consumers. Using technology, ingenuity, and locally tailored solutions, Indian businesspeople have been at the forefront of this transformation, which has enabled them to serve a massive and varied market. An examination of the ways in which Indian e-commerce firms have triumphed …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 01–15 Read article
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A Review on Automatic Railway Gate Control System
Abstract: Railway transportation is one of the most efficient and widely used modes of transport; however, safety at level crossings remains a critical issue, especially at unmanned or manually operated gates. A significant number of accidents happen as a result of human carelessness, insufficient coordination, and postponed gate operations. To address these issues, the Automatic Railway Gate Control System has been created as a viable solution to improve safety and minimize …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 1–7 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 9–22 Read article
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Investigation of Locational and Non-locational Factors Influencing Crash Severity: A Developing World Perspective
Abstract: Traffic crash is one of the major causes of mortality and injuries in Bangladesh. This study provides multiple crash data reviews over four consecutive years, starting from 2016 to 2019 of Chittagong City Corporation. This analysis is intended to assess the impacts of various parameters on the severity of traffic crashes. The study technique consists of several phases. This research provides a broad description of the variables in the first …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 30–46 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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E-Commerce and AI: Product Recommendation and Pricing
Abstract: E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This study will look at the important areas wherein AI is having a substantial impact, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 37–45 Read article
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Analysis of M-ary Signaling for Weak Turbulence Regime in FSO Communication System
Abstract: Abstract: The need for high data rate LOS communication is accomplished using the Free Space Optical communication. Being a very cost-effective approach, it contributes to the easy set-up and deployment of point to point terrestrial link. It transmits the light signal in free space channel (air, vacuum etc.) using LASERs or LEDs and received via photodetector. In this paper, the channel is modelled using Lognormal turbulence model. This channel model …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 24–31 Read article
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Semantic Similarity Framework for Automatic Hallucination Detection in Large Language Models
Abstract: Large Language Models can generate fluent, contextually appropriate text across a range of NLP tasks, but they frequently produce outputs that are factually wrong while sounding confident and plausible. This problem, referred to as hallucination, poses serious risks in domains where accuracy matters. We propose a post-processing framework that detects hallucinated responses by comparing them against verified reference text using sentence embeddings. The system computes cosine similarity between the response …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 16–22 Read article
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Comparative Analysis of Heart Disease Prediction System
Abstract: In the present world, where heart illnesses are on the rise, it is crucial to forecast these diseases. Performing the task on heart disease is a bit difficult and it must be finished precisely and successfully. Heart disease identification relies heavily on Machine Learning (ML) and data mining approaches. The primary focus of the review paper is that patients are easily prone to cardiac diseases depending on medical traits. Using …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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Investigating Factors Associated to Speech and Language Development Problem Among Under-five Children in Bangladesh: A Cross-Sectional Study
Abstract: Speech and Language Delay (SLD) is a developmental disorder characterized by a lag in a child's acquisition and use of spoken language compared to typical developmental milestones. It is a significant developmental concern with profound implications for cognitive, social, and academic outcomes. The objective of this study is to explore the factors associated to SLD in children and early intervention of the problem to support the children who need special …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 1–12 Read article