Academic literature on the topic 'Intelligent safety'

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Journal articles on the topic "Intelligent safety"

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Vijayabaskar, Dr S., Mr K. Veera Prakash, Mr P. Venugopal, Mr S. Kathirvel, and Mr R. Suryaprakash. "Intelligent Fire Safety Autopilot." International Journal of Research Publication and Reviews 5, no. 11 (2024): 5411–14. https://doi.org/10.55248/gengpi.5.1124.3339.

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Brown, Alan S. "Intelligent Safety." Mechanical Engineering 129, no. 12 (2007): 35–38. http://dx.doi.org/10.1115/1.2007-dec-3.

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The US Department of Transportation announced that it would go beyond active and passive safety systems to mandate the first use of a truly intelligent safety system. The new standard requires automakers to equip all vehicles with electronic stability control, which automatically brakes individual wheels during skids, by September 1, 2011. According to a senior staff member, electronic stability control is probably the most significant automotive safety technology since the seat belt. Electronic stability control combines sophisticated sensors and high-octane computing to take intelligent brak
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Teige, Christian, Alexander Fertig, Berend Denkena, Benjamin Bergmann, and Matthias Weigold. "Intelligente Vernetzung für die Fräsbearbeitung/Intelligent networking for milling processes." wt Werkstattstechnik online 111, no. 01-02 (2021): 14–19. http://dx.doi.org/10.37544/1436-4980-2021-01-02-18.

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Im Forschungsprojekt „TensorMill“ wird die Umsetzung einer intelligent vernetzten autonomen Fertigung von sicherheitsrelevanten Bauteilen in der Luftfahrtindustrie angestrebt. Dabei soll mithilfe von Künstlicher Intelligenz (KI) auf möglichst viele Situationen im Fertigungsprozess reagiert werden. Dies dient dem Ziel, die Produktivität und Prozesssicherheit bei der Herstellung der sicherheitsrelevanten Integralbauteile zu erhöhen.   The „TensorMill“ research project aims to implement an intelligently networked autonomous production of safety-relevant components in the aviation industr
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Zhao, Ziming, and Jinyu Chen. "Application of artificial intelligence technology in the economic development of urban intelligent transportation system." PeerJ Computer Science 11 (March 20, 2025): e2728. https://doi.org/10.7717/peerj-cs.2728.

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With the rapid development of the social economy and the gradual improvement of residents’ living standards, the increasing number of urban cars has exacerbated urban traffic congestion. This article analyzed the application of artificial intelligence (AI) technology in five aspects of urban intelligent transportation systems. Artificial intelligence technology was used in traffic data collection and processing to provide accurate data support for traffic decision-making. A traffic flow prediction model was established for traffic flow prediction and optimized scheduling algorithms were used t
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BUITEN, Miriam C. "Towards Intelligent Regulation of Artificial Intelligence." European Journal of Risk Regulation 10, no. 1 (2019): 41–59. http://dx.doi.org/10.1017/err.2019.8.

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Artificial intelligence (AI) is becoming a part of our daily lives at a fast pace, offering myriad benefits for society. At the same time, there is concern about the unpredictability and uncontrollability of AI. In response, legislators and scholars call for more transparency and explainability of AI. This article considers what it would mean to require transparency of AI. It advocates looking beyond the opaque concept of AI, focusing on the concrete risks and biases of its underlying technology: machine-learning algorithms. The article discusses the biases that algorithms may produce through
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Zhang, Wenhui. "Research On the Application of Intelligent Technology in Mining Safety Monitoring." Highlights in Science, Engineering and Technology 106 (July 16, 2024): 565–69. http://dx.doi.org/10.54097/ct50qe50.

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Safe mining of mineral resources is of great practical significance to energy supply, industrial production and social and economic development. With the development of science and technology, mining innovation is the necessary measure and development trend to solve the safety problem. In order to reduce the occurrence of risks, the intelligent mining platform is used to improve the production safety factor of mining. Based on the integration of modern information technology and mining safety, this paper mainly analyzes the application of intelligent mining safety risk technology in the backgr
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Lv, Chengshuang, Jiaojiao Xu, and Caihui Wang. "Intelligent Strategies to Improve Food Safety Supervision Model." International Journal of Education and Humanities 1, no. 1 (2021): 21–27. http://dx.doi.org/10.54097/ijeh.v1i1.197.

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Intelligent supervision effectively deals with food safety problems from four aspects: concept, subject, activity and object. This paper makes a qualitative analysis on the current situation of intelligent supervision of food safety in Beijing, Tianjin and Hebei, compares and studies the intelligent supervision modes of food safety in three coastal areas in eastern China, constructs the analysis framework of intelligent supervision of food safety, and improves the intelligent supervision mode of food safety in Beijing, Tianjin and Hebei. By studying the policy path of intelligent supervision o
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Liu, Runnan, Guangze Liu, Pengfei He, and Xingzhi Lin. "Research on artificial intelligence safety prediction and intervention model based on ship driving habits." MATEC Web of Conferences 355 (2022): 03032. http://dx.doi.org/10.1051/matecconf/202235503032.

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Based on the analysis of the causes of ship accidents, the development prospect and development direction of ship intelligent safe driving, the artificial intelligence safety prediction and intervention model is put forward. This model solves the problem of ship intelligent safety prediction by using intelligent analysis technology and network technology, and promotes the development of ship intelligence and ship safety navigation technology. Additionally, it expands the channels of obtaining information, connects the ship's mechanical and electrical equipment, collects, stores and analyzes th
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Dhotre, Akshay, Ganesh Swami, Sanket Bhave, Siddhant Jinturkar, and A. K. Lohate. "Intelligent Helmet System for Enhanced Rider Safety." International Journal of Research Publication and Reviews 4, no. 6 (2023): 4374–80. http://dx.doi.org/10.55248/gengpi.4.623.47819.

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Li, Lingxu, Mingchang Ma, and Zitong Ma. "Safety Evaluation and Management of Engineering Structures Based on Intelligent Technology." Proceedings of Business and Economic Studies 8, no. 3 (2025): 312–16. https://doi.org/10.26689/pbes.v8i3.11177.

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With the rapid development of science and technology, the application of intelligent technology in the field of civil engineering is more extensive, especially in the safety evaluation and management of engineering structures. This paper discusses the role of intelligent technologies (such as artificial intelligence, Internet of Things, BIM, big data analysis, etc.) in the monitoring, evaluation, and maintenance of engineering structure safety. By studying the principle, application scenarios, and advantages of intelligent technology in structural safety evaluation, this paper summarizes how i
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Dissertations / Theses on the topic "Intelligent safety"

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Martin, Lesley. "Intelligent system selection for safety-related applications." Thesis, University of Strathclyde, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438217.

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Jonsson, Patrik. "Intelligent networked sensors for increased traffic safety." Licentiate thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-14982.

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Our society needs to continuously perform transports of people and goods toensure that business is kept going. Every disturbance in the transportation ofpeople or goods affects the commerce and may result in economical losses forcompanies and society. Severe traffic accidents cause personal tragedies forpeople involved as well as huge costs for the society. Therefore the roadauthorities continuously try to improve the traffic safety. Traffic safety may beimproved by reduced speeds, crash safe cars, tires with better road grip andimproved road maintenance. The environmental effects from roadmai
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Grubb, Mark. "intelligent clothing for monitoring occupational health and safety." Thesis, University of Nottingham, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.537685.

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Amin, Imran. "Intelligent automotive safety systems : the third age challenge." Thesis, Loughborough University, 2006. https://dspace.lboro.ac.uk/2134/18485.

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Over 300,000 individuals are injured every year by vehicle related accidents in the United Kingdom alone. Government and the vehicle manufacturers are not only bringing new legislation but are also investing in vehicle safety research to bring this figure down. A private self-driven car is an important factor in maintaining the independence and quality of life of the third age individuals. However, since older people brings deterioration of cognitive, physical and visual abilities, resulting in slower reaction times and lapses while driving. The third age individuals are involved in more vehic
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Avgoustis, Alexis. "Quantifying the Safety Impacts of Intelligent Transportation Systems." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/33327.

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An average of 6.5 million crashes are reported to the police every year in the United States. Safety is significantly important considering the rapid increase on traffic volume on American roads. This thesis describes the development of a safety model whose primary objective is to capture the benefits of Intelligent Transportation Systems (ITS) on safety. The specific ITS component that is examined in more detail is traffic signal coordination. The model was tested in a micro-simulation environment using INTEGRATION traffic simulation model as well as in a field data evaluation. <p> The Gener
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Miah, Shahjahan. "A low-cost intelligent localisation system to improve cyclist safety." Thesis, City, University of London, 2018. http://openaccess.city.ac.uk/19873/.

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Cycling is an increasingly popular mode of travel in cities owing to the great advantages that it offers in terms of space consumption, health and environmental sustainability, and it is therefore favoured and promoted by many city authorities worldwide. A large number of recently introduced cycling-related schemes in many cities demonstrates this trend. However, the relatively low safety of pedal cycles as perceived by the users currently presents itself as a hurdle, and therefore cycling has yet to be adopted to a wider extent by users as a true alternative to the private car. Rising acciden
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Patterson, Angela K. "Intelligent Cruise Control System Impact Analysis." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36966.

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Intelligent cruise control (ICC) has the potential to impact both roadway throughput and safety by assisting drivers in maintaining safe headways. This thesis explores this potential through comparisons of ICC to conventional cruise control (CCC) and manual driving. Accordingly, descriptions are given of both CCC and ICC systems. Furthermore, descriptions of ICC evaluation studies and car-following models are presented. <p> The evaluation of ICC is conducted using data collected as part of the Field Operational Test (FOT) performed in Ann Arbor, Michigan. Two levels of analysis are pre
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Ray, Soumitry J. "Intelligent hazard identification: Dynamic visibility measurement of construction equipment operators." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/51968.

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Struck-by fatalities involving heavy equipment such as trucks and cranes accounted for 24.6% of the fatalities between 1997-2007 in the construction industry. Limited visibility due to blind spots and travel in reverse direction are the primary causes of these fatalities. Blind spots are spaces surrounding an equipment that are invisible to the equipment operator. Thus, a hazard is posed to the ground personnel working in the blind spaces of an equipment operator. This research presents a novel approach to intelligently identify potential hazards posed to workers operating near an equipment by
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Armsby, Pauline M. "An intelligent pedestrian device : social, psychological and other issues of feasibility." Thesis, Middlesex University, 1996. http://eprints.mdx.ac.uk/9847/.

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An Intelligent Pedestrian Device (IPD) is a new concept in pedestrian safety. It is defined as a microprocessor based information device which detects the approach of oncoming vehicles and informs the pedestrian whether or not it is safe to cross. IPDs could be portable or fixed to a roadside station. They could help reduce pedestrian accidents, which cost £2681 million in the UK in 1994. This study aims to assess whether the concept is socially acceptable and what the design criteria might be. A study of social acceptance involved group interviews of 5-10 participants with 84 pedestrians in f
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Bhaduri, Sreyoshi. "Algorithm to enable intelligent rail break detection." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/78080.

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Wavelet intensity based algorithm developed previously at VirginiaTech has been furthered and paired with an SVM based classifier. The wavelet intensity algorithm acts as a feature extraction algorithm. The wavelet transform is an effective tool as it allows one to narrow down upon the transient, high frequency events and is able to tell their exact location in time. According to prior work done in the field of signal processing, the local regularities of a signal can be estimated using a Lipchitz exponent at each time step of the signal. The local Lipchitz exponent can then be used to generat
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Books on the topic "Intelligent safety"

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Wang, Jianqiang, Bingbing Nie, and Hong Wang. The Intelligent Safety of Automobile. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6399-7.

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Kaynak, Okyay, Ger Honderd, and Edward Grant, eds. Intelligent Systems: Safety, Reliability and Maintainability Issues. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-58021-5.

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Kaynak, Okyay. Intelligent Systems: Safety, Reliability and Maintainability Issues. Springer Berlin Heidelberg, 1993.

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Huang, Xinyan, and Wai Cheong Tam, eds. Intelligent Building Fire Safety and Smart Firefighting. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-48161-1.

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Okyay, Kaynak, Honderd Ger, Grant Edward 1926-, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Research Workshop on Intelligent Systems: Safety, Reliability, and Maintainability (1992 : Izmir, Turkey), eds. Intelligent systems: Safety, reliability, and maintainability issues. Springer-Verlag, 1993.

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Ian, Noy Y., ed. Ergonomics and safety of intelligent driver interfaces. Lawrence Erlbaum Associates, 1997.

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Slavinska, Olena, Viktor Danchuk, Olga Kunytska, and Oksana Hulchak, eds. Intelligent Transport Systems: Ecology, Safety, Quality, Comfort. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87376-8.

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Slavinska, Olena, Viktor Danchuk, Olga Kunytska, and Oksana Hulchak, eds. Intelligent Transport Systems: Ecology, Safety, Quality, Comfort. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87379-9.

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Hamid, Brahim, Barbara Gallina, Asaf Shabtai, Yuval Elovici, and Joaquin Garcia-Alfaro, eds. Security and Safety Interplay of Intelligent Software Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16874-2.

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Vaughan, Inman, United States. National Highway Traffic Safety Administration., and John A. Volpe National Transportation Systems Center (U.S.), eds. ADVANCE safety evaluation. U.S. Dept. of Transportation, National Highway Traffic Safety Administration, 2000.

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Book chapters on the topic "Intelligent safety"

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Schöneburg, Rodolfo, Frank Buschbeck, Eric Gärtner, et al. "Intelligent Safety." In Mercedes-Benz E-Klasse. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18443-8_9.

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Ma, Jun, and Zaiyan Gong. "Safety." In Research on Automotive Intelligent Cockpit. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9951-4_6.

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Kompass, Klaus, Christian Domsch, and Ronald E. Kates. "Integral Safety." In Handbook of Intelligent Vehicles. Springer London, 2012. http://dx.doi.org/10.1007/978-0-85729-085-4_27.

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Wang, Jianqiang, Bingbing Nie, and Hong Wang. "Intelligent Protection." In The Intelligent Safety of Automobile. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6399-7_4.

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Özdemir, İbrahim Sani. "Intelligent Packaging." In Handbook of Food Safety Engineering. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781444355321.ch29.

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Wang, Jianqiang, Bingbing Nie, and Hong Wang. "Driving Safety." In The Intelligent Safety of Automobile. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6399-7_3.

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Wang, Jianqiang, Bingbing Nie, and Hong Wang. "System Safety." In The Intelligent Safety of Automobile. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6399-7_2.

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Siró, István. "Intelligent Packaging and Food Safety." In Practical Food Safety. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118474563.ch19.

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Hollnagel, Erik. "The Intelligent Use of Intelligent Systems." In Intelligent Systems: Safety, Reliability and Maintainability Issues. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-58021-5_5.

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Hu, Xiaofeng, Shenling Wang, Zhaowei Zhang, and Peiwu Li. "Intelligent Point-of-Care Testing for Food Safety." In Food Safety. CRC Press, 2024. http://dx.doi.org/10.1201/9781003334859-9.

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Conference papers on the topic "Intelligent safety"

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K, Latha, Aparna S, Suvigshaa S, and Vaishnavi U. "Intelligent Safety Systems for Women." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780007.

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Al-Smadi, Adnan, Murar Al-Nusairat, Ammar Erjoub, Laith Freitekh, and Mohammed Khouj. "Intelligent Farm Irrigation and Safety System." In 2024 25th International Arab Conference on Information Technology (ACIT). IEEE, 2024. https://doi.org/10.1109/acit62805.2024.10876975.

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Grabaskas, David, Yunfei Zhao, Carol Smidts, Vera Moiseytseva, Roberto Ponciroli, and Pascal Brocheny. "Markov Decision Processes for Intelligent, Risk-Informed Asset-Management Decision-Making." In Advanced Reactor Safety (ARS). American Nuclear Society, 2024. http://dx.doi.org/10.13182/t130-43354.

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Samuel Raj, K. John, B. Mohan, P. Harikrishnan, et al. "Smart Impact Mitigation: Intelligent Speed and Safety." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915506.

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Yang, Hongtao, Weichun Hou, Yongli Sun, and Huiyan Liu. "Exploration of Artificial Intelligence Technology in Safety and Protection of Intelligent Vehicles." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691015.

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Nicheporchuk, Valeriy, and Tatiana Penkova. "Architecture of Intelligent Platform for Territorial Safety Management." In 2024 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). IEEE, 2024. http://dx.doi.org/10.1109/sibircon63777.2024.10758467.

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Fu, Qin, and Jiaojiao Zheng. "Design of intelligent safety helmets based on microcontroller." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067522.

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Chen, Jianhuan, Ganglin Wu, Libing Qin, Zhichao Peng, and Xixiang Zhang. "Power Grid Field Operation Intelligent Safety Supervision System." In 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum (NPSIF). IEEE, 2024. https://doi.org/10.1109/npsif64134.2024.10883635.

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Suthahar, P., P. Sharmila, Vijay S, Rathish S, and Gioal A. Sabi. "Intelligent Road Safety System: AI-Based CCTV Surveillance." In 2025 International Conference on Computing and Communication Technologies (ICCCT). IEEE, 2025. https://doi.org/10.1109/iccct63501.2025.11019836.

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Xu, Xinyan, Ran Wei, and Haochi Wang. "Model-based Automated Safety Analysis Method for Safety-critical System." In 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM). IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629307.

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Reports on the topic "Intelligent safety"

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Kulhandjian, Hovannes. Smart Robot Design and Implementation to Assist Pedestrian Road Crossing. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2353.

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This research focuses on designing and developing a smart robot to assist pedestrians with road crossings. Pedestrian safety is a major concern, as highlighted by the high annual rates of fatalities and injuries. In 2020, the United States recorded 6,516 pedestrian fatalities and approximately 55,000 injuries, with children under 16 being especially vulnerable. This project aims to address this need by offering an innovative solution that prioritizes real-time detection and intelligent decision-making at intersections. Unlike existing studies that rely on traffic light infrastructure, our appr
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Chen, Yan, Christopher Nwagboso, and Panagiotis Georgakis. Modelling Integrated Safety Systems With Collision Avoidance and Intelligent Speed Adaptation. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0260.

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Tayeb, Shahab. Intelligent Blind Crossings for Suburban and Rural Intersections. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2351.

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Blind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle
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Tsai, Jeffrey J. A Framework for the Certification and Evaluation of Real-Time Safety-Critical Intelligent Systems. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada359957.

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Mahlberg, Justin, Yaguang Zhang, Sneha Jha, et al. Development of an Intelligent Snowplow Truck that Integrates Telematics Technology, Roadway Sensors, and Connected Vehicle. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317355.

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The Indiana Department of Transportation (INDOT) manages and maintains over 28,000 miles of roadways. Maintenance of the roadways includes pavement repair in the summer as well as snow removal and de-icing in the winter. The prioritization of assets during winter storm events is crucial and impacts travel and safety. The objective of this project was to identify and develop tools INDOT could provide its operators to effectively perform winter operation de-icing activities. This project examined application methods and data to provide analytics and make data-driven decisions for state-wide depl
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Willson. L51756 State of the Art Intelligent Control for Large Engines. Pipeline Research Council International, Inc. (PRCI), 1996. http://dx.doi.org/10.55274/r0010423.

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Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other task
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Pasupuleti, Murali Krishna. AI-Driven Automation: Transforming Industry 5.0 withMachine Learning and Advanced Technologies. National Education Services, 2025. https://doi.org/10.62311/nesx/rr225.

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Abstract: This article delves into the transformative role of artificial intelligence (AI) and machine learning (ML) in shaping Industry 5.0, a paradigm centered on human- machine collaboration, sustainability, and resilient industrial ecosystems. Beginning with the evolution from Industry 4.0 to Industry 5.0, it examines core AI technologies, including predictive analytics, natural language processing, and computer vision, which drive advancements in manufacturing, quality control, and adaptive logistics. Key discussions include the integration of collaborative robots (cobots) that enhance hu
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Marsden, Eric, and Véronique Steyer. Artificial intelligence and safety management: an overview of key challenges. Foundation for an Industrial Safety Culture, 2025. https://doi.org/10.57071/iae290.

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Artificial intelligence based on deep learning, along with big data analysis, has in recent years been the subject of rapid scientific and technological advances. These technologies are increasingly being integrated into various work environments with the aim of enhancing performance and productivity. This dimension of the digital transformation of businesses and regulatory authorities presents both significant opportunities and potential risks for industrial safety management practices. While there are numerous expected benefits, such as the ability to process large volumes of reliability dat
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Pyta, V., Bharti Gupta, Shaun Helman, Neale Kinnear, and Nathan Stuttard. Update of INDG382 to include vehicle safety technologies. TRL, 2020. http://dx.doi.org/10.58446/thco7462.

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Driving is one of the riskiest work tasks, accounting for around one third of fatal crashes in the UK. Organisations are expected to manage work-related road safety (WRRS) in the same way that they manage other health and safety risks. The Health and Safety Executive (HSE) and Department for Transport (DFT) issue joint guidance on this in INDG382 ‘Driving at work: managing work-related road safety’. HSE and DFT were seeking to update INDG382 to include reference to vehicle safety technologies that could enable employers to monitor safety related events or driver behaviours, to support learning
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Sokolov, Alexander. Modern Integrated Methods of Reagent-Free Liquid Treatment. Intellectual Archive, 2025. https://doi.org/10.32370/iaj.3262.

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Abstract:
The article presents a new approach to reagent-free liquid treatment systems based on resonance diagnostics and adaptive control technologies. The author discusses the integration of non-contact, sensor-based methods for monitoring the physicochemical parameters of liquids in real time, applicable in water purification, industrial processing, and environmental safety. The system described utilizes intelligent algorithms to detect impurities, adjust treatment protocols, and ensure high accuracy without chemical reagents.
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