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109 articles for “neighbor”
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Cohesive Energy of Chalcogenide and Pnictide Based Ternary Tetrahedral Semiconductors
Abstract: There is a great amount of interest in tertiary chalcopyrite semiconductors because of the potential uses they have in the field of optoelectronics. These applications include solar energy converters, detectors, light emitting diodes (LED), and non-linear optical devices (NLO). There are variety of ZnS Zinc blende types of superstructures in which one of the types is called chalcopyrite semiconductor. This study is based on the characteristics of the chalcopyrite semiconductor. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 192–197 Read article
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The Future of Open Streets, New York City
Abstract: The COVID-19 pandemic necessitated rapid adjustments to New York City public spaces, leading to the implementation of the Open Streets program by the NYC Department of Transportation (DOT). This program transformed streets across the city into pedestrian- friendly zones by limiting vehicular traffic and providing much-needed outdoor space for residents to walk, bike, and socialize safely. While successful in some areas, the program faced significant challenges. These included equity issues, …
Published in International Journal of Urban Design and Development · Vol. 2, Issue 2, 2024 · pp. 16–31 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Textual Clues to Stress: A Machine Learning Approach
Abstract: Nowadays, numerous individuals utilize social media platforms to share tweets about their daily lives, which often reflect their mental well-being. Recognizing and managing stress is essential before it becomes a serious issue. Each day, a significant volume of informal messages is posted on discussion forums, blogs, and social networking sites. This study introduces a method for detecting stress using information gathered from social media, with a focus on Twitter. The …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 72–76 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Marine Spatial Planning: Implementation of Plans and Strategies in Perspective of Bangladesh
Abstract: Marine spatial planning (MSP) is an internationally recognized planning tool used in coastal countries to utilize information about a particular maritime zone, its resources, and its uses and to develop a comprehensive ocean management system. It is a pragmatic and integrated process to protect the environment when human operations are held at spatial and temporal levels and increase sustainability in marine resources' uses. After two victories with two neighboring countries, …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 24–31 Read article
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Solar Sentry: Solar Power Module with Border Alert System for Fishing Vessel
Abstract: Fishermen are being caught and killed by the naval forces of the neighboring country, due to the lack of awareness about the ocean frontiers and advanced alert instruments in the boats. For this reason, maritime security has become a major concern of all coastal areas to protect the fishermen and provide assistance about sea frontiers via alerting, tracking, and monitoring of boat vessels. Thereby, a path-breaking technology of maritime border …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Cross-Border Disaster Preparedness in the Himalayas by Indian Armed Forces
Abstract: The Himalayan region, known for its immense ecological and geopolitical significance, is also one of the most disaster-prone areas in the world. Its young and dynamic geological structure, coupled with increasing human activity, has amplified the frequency and severity of natural disasters such as landslides, floods, and earthquakes. Cross-border disaster preparedness in the Himalayas, particularly by the Indian Armed Forces, has emerged as a critical component of regional stability and …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 29–35 Read article
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Resource Reservation Approach: Application in Wireless Network
Abstract: This paper presents an enhanced resource reservation and call admission control strategy tailored for cellular networks. The proposed method uses user mobility trends to improve the efficiency of resource usage while avoiding significant network congestion. The call admission control mechanism is activated each time a new or handoff service request occurs, ensuring that resources are allocated efficiently to uphold a steady quality of service (QoS) for multimedia traffic. This mechanism …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 9–12 Read article
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Light-Dark Cycle Disruption in Hypothalamus Tissue of Mus Musculus Causes Change in the Expression of Gm45928 Gene
Abstract: The majority of organisms on earth display consistent 24-hour rhythms in their physiology and behavior due to circadian biology. Light and dark cycles play a key role in setting our internal body clock, which controls things like our sleep patterns, hormone levels, body temperature, and metabolism. The disruption of the light-dark cycle has significant effects on the molecular and behavioral rhythms of the circadian clock of hypothalamus. Gm45928 is a …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 32–46 Read article
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Advancing Healthcare Systems: A Machine Learning Approach to Multi-Disease Prediction
Abstract: The integration of machine learning algorithms in healthcare has revolutionized the way we approach disease prediction and diagnosis. An attempt to employ machine learning techniques to forecast numerous diseases is presented in this study. A diverse dataset containing patient records, medical history, and relevant features for various diseases was used to develop predictive models. Feature selection and normalization were among the preprocessing methods used to clean and prepare the data. …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 1–6 Read article
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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India’s Role in Ethical Environmental Cooperation in South Asia
Abstract: South Asia is one of the most vulnerable ecosystems in the world, facing serious environmental challenges, such as climate change, deforestation, loss of biodiversity, water shortage and transboundary pollution. These threats have had considerable and far-reaching consequences that relate to the countries in question. The best way forward for regional environmental governance is therefore a mix of national and regional collaboration. In addressing these challenges, India is the largest and …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 36–48 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Offshore Intrusion Detection, Surveillance and fishermen Safety System
Abstract: The proposed tracking system for offshore fishermen aims to support sustainable fishing practices and improve the livelihoods of fishermen. This innovative device combines GPS tracking with various features, including security, safety, maritime sustainability, and fishing management, all at a low cost. Key features of the system include: GPS and GPRS tracking: Enables real-time monitoring and location tracking of fishermen. GSM-assisted patrolling: Allows for efficient patrolling and response to emergencies. Security …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 Read article
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Evaluation and Study of The chemical Pollution Ratio of Dams Water in Najaf Governorate and The surrounding Environments
Abstract: The importance of water and the urgent need for a clean environment free from pollutants has drawn our attention and focused in this study on estimating and evaluating ionic pollutants of elements (iron, chromium, lead, manganese) in the water of dams in Najaf Governorate and the surrounding areas. The study included four dams, namely ()Al-Mushkhab Dam, Al-Hindiya Dam, Shatt Al-Kufa, and Umm Abbasiyat Dam)( to determine the percentage of pollution …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Assessment of Noise Pollution Level in Port Harcourt City: a Location Based Comparative Study
Abstract: Noise pollution has emerged as a significant environmental health concern in urban centers, particularly in rapidly developing cities like Port Harcourt, Nigeria. This study presents a comprehensive, location-based comparative assessment of ambient noise levels across selected zones within Port Harcourt metropolis, including residential, commercial, industrial, and traffic-dense areas. Sound level measurements were conducted in the different areas of Port-Harcourt metropolis. High-density and low-density residential neighborhoods, busy roadways, business centers, road …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 7–17 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article