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83 articles for “Incident detection”
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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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Advancements in Autonomous Fire-Fighting Robots: Enhancing Safety and Efficiency
Abstract: This paper centers around the development and assembly of a firefighting robot engineered to sense and extinguish fires. The robot integrates environmental sensing and proportional motor control principles to adeptly identify and combat fire incidents. It relies on sensors such as thermistors, ultraviolet sensors, or flame sensors to detect the presence of flames. Once a fire is detected, the robot triggers an electronic valve to dispense water sprinkles onto the …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 19–28 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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AI-Driven Cybersecurity: Enhancing System Resilience with Advance Security Automation Program (ASAP)
Abstract: In the face of increasing cyber threats, this work presents advanced security automation program (ASAP) a revolutionary solution aimed at addressing modern cyber threats through the utilization of artificial intelligence (AI) and open-source technologies. Unlike conventional security systems like security information and event management (SIEM) and security operations center (SOC), ASAP provides automated defense mechanisms that surpass their limitations by significantly increasing both the speed and accuracy of incident detection …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 1–19 Read article
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Assessing the Increasing Incidence of Prostate Cancer in Urban Delhi: Risk Factors, Early Detection, and Treatment Challenges
Abstract: Background: Prostate cancer has emerged as the second most prevalent cancer among men in India, with rapidly increasing incidence rates in urban areas like Delhi. This rise is attributed to urbanization, lifestyle changes (high-fat diets, tobacco use, sedentary behavior), increased life expectancy, and improved diagnostics. Despite its growing burden, low awareness, limited screening programs, and treatment barriers hinder early detection and effective management. This study examines the epidemiological trends, risk …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 21–28 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
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Gallbladder Papillary Carcinoma, The Difficulty of Early Detection: A Case Report
Abstract: Gallbladder carcinoma is the sixth most common malignant tumour of the gastrointestinal tract and the most frequent malignant neoplasm of the biliary tract. Papillary carcinomas are uncommon neoplasm’s, representing nearly 5–12% of all malignant gallbladder tumours. Evidence accumulated in the last 20 years indicates that papillary carcinomas of the gallbladder are associated with a better prognosis than conventional nonpapillary carcinomas.We report our experience with gallbladder papillary carcinoma incidentally diagnosed during …
Published in Research and Reviews : Journal of Surgery · Vol. 6, Issue 3, 2017 · pp. 12–16 Read article
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Fire Detection System
Abstract: Fire detection systems are engineered to identify the presence of fire or smoke and notify individuals of possible hazards. These systems employ a range of sensors, such as smoke detectors, heat detectors, flame detectors, and advanced algorithms, to recognize indications of fire inception or spread. When a fire is detected, alarms are activated, facilitating swift responses to minimize dangers and forestall fire incidents.
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 29–38 Read article
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The Role of Artificial Intelligence in Automating Incident Response in Cloud-Based Cybersecurity
Abstract: As cloud computing continues to gain traction across industries, the complexity and scale of cloud environments present significant challenges to traditional cybersecurity practices. The dynamic and distributed nature of cloud infrastructures necessitates agile and effective incident response mechanisms to detect, analyze, and mitigate threats in real-time. However, conventional incident response methods often fall short due to the growing sophistication of cyber threats and the vast amounts of data generated in …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 15–24 Read article
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X-ray Telescopes: Technological Developments and Contributions to High-Energy Astrophysics
Abstract: X-ray telescopes have revolutionized our understanding of the high-energy universe, unveiling phenomena that are invisible to optical telescopes. This paper reviews the technological advancements in X-ray telescope design, instrumentation, and data analysis techniques, which have significantly enhanced their sensitivity and resolution. We trace the development from early X-ray detectors to modern space-based observatories like the Chandra X-ray Observatory and the XMM-Newton. These advancements have facilitated groundbreaking discoveries, such as the …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Effectiveness of Public Health Campaigns in Reducing Oral Cancer Incidence in Urban Maharashtra
Abstract: Introduction: Oral cancer is a major public health problem in urban Maharashtra which can be attributed to high consumption of tobacco, late presentation, and poor awareness. To tackle these issues, public health campaigns have been established to encourage early diagnosis, lifestyle modification, and availability of health resources. This study assesses the impact of these campaigns on the reduction of oral cancer incidence and awareness level in the population. Methods: This …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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AI-Based Threat Detection in Cloud Platforms
Abstract: This research work delves into the transformative role AI has come to assume for enhanced threat detection in the cloud ecosystem. The conventional security frameworks, which form the basis for many architectures, are several steps behind actualizing the rapidly evolving cyber threat landscape, exposing critical weaknesses in the areas of accuracy, adaptability, and speed of response. Initially, the study sets forth the problems with the old-school approaches to threat detection …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 01–10 Read article
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Immunology and Immunotherapy of Pulmonary adenocarcinoma: A Systematic Review
Abstract: Lung cancer is the world's second leading cause of death, with an estimated 9.6 million deaths in 2018. Approximately 80% of all lung cancer is caused by non-small cell lung cancer (NSCLC). Due to lack of early detection and treatment, the incidence rate of lung cancer prognosis remains low. CD4+T-lymphocytes, macrophages, dendritic cells, and natural killer cells are among the immune cells involved in the pathogenesis of lung cancer. The …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 2, 2022 · pp. 15–25 Read article
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Assess the Knowledge Level Regarding Prevention of Cervical Cancer Among Bachelor of Science Students at Selected Nursing College in Bengaluru
Abstract: Background: Cervical cancer is a major global health concern and one of the primary causes of cancer-related fatalities in women, with particularly high incidence rates in India. Early detection and prevention are crucial, but awareness remains insufficient, especially among future healthcare professionals like nursing students. This study evaluates the knowledge of first-year Bachelor of Science (BSc) nursing students regarding cervical cancer prevention. Materials and Methods: A non-experimental, descriptive research design …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 21–25 Read article
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IoT-Enhanced Integrated LPG Level and Leakage Detection System
Abstract: Increased statistics of fire outbreak occurrences and gas leakage incidents in both industrial and domestic applications has called for better safety measures in Liquefied Petroleum Gas (LPG) management. Research efforts are therefore geared towards developing solutions which could greatly curb the menace of fire outbreaks and leakages of highly flammable gases. The presented work focuses on the design and fabrication of an IoT-enhanced system dedicated to the monitoring and detection …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 9–16 Read article
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Implementing a GPS, GSM, and Arduino-Based System for Alcohol Detection and Engine Locking
Abstract: The use of alcohol detection and engine locking systems in vehicles has become a crucial area of technological innovation aimed at enhancing road safety and reducing incidents of driving under the influence (DUI). This provides an overview of the functionality, technology, and impact of such systems.Alcohol detection and engine locking systems are sophisticated technologies integrated into vehicles to prevent operation by an intoxicated driver. These systems utilize various methods for …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 34–41 Read article
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Alcohol Detection for Automobiles
Abstract: The Alcohol Detection Device Project aims to create an alcohol detection device that can accurately measure the alcohol concentration in a driver’s blood while operating a vehicle. Alcohol-impaired driving poses a significant threat to road safety worldwide. The device aims to enhance road safety, reduce accidents, and save lives. Public Health Impact by promoting responsible driving habits, the device contributes to public health by minimizing the negative consequences of alcohol-related …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 18–25 Read article
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AI and Sensor Systems Revolutionizing Intoxication and Smoking Pre- Detection
Abstract: In an increasingly interconnected and safety-conscious world, the pervasive issues of intoxication and uncontrolled smoking continue to pose significant threats to public health, safety, and productivity. From impaired driving incidents to workplace accidents, and from chronic health conditions linked to smoking to the risk of fires, the societal and economic costs are staggering. However, a new frontier in preventative technology is emerging: sophisticated AI and sensor-based systems designed for the …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 3, 2025 · pp. 14–25 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article