New Switching System of Railway Division Communication by Xu Di and Zhao Jianren

“…The system soffware is run in simulant operation by the computer, that system being realizable is proofed.…”
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LED Context Lighting System in Residential Areas by Sook-Youn Kwon, Kyoung-Mi Im, Jae-Hyun Lim

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IoT based Fire Alerting Smart System by Ibtehal Mahfoodh Mohammed Al Hasani, Syed Imran Ali Kazmi, Reehan Ali Shah, RAZA HASAN, Saqib Hussain

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Design and Development of an Acoustic-Based Recongnition System Using DNN by Bushra Jamil, Saba Sultan, Humaira Ijaz

“… Automatic speech recognition is a process of using computers to convert voice signals produced by human speech into reasonable format i.e. text or command that conveys the same meaning as the speaker intended to do. …”
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Adaptive context biasing in transformer-based ASR systems by Nurmemet Yolwas, Yineng Cai, Lixu Sun, Yongchao Li, Wushouer Silamu, Qiqi Du, Ya Huang, Zhiwu Sun, Jian Peng, Yajie Wei

“…Abstract With the advancement of neural networks, end-to-end neural automatic speech recognition (ASR) systems have demonstrated significant improvements in identifying contextually biased words. …”
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Error Correction by AI in High-precision Navigation Systems by Zhu Tianyu

“…These provide theoretical and practical support for the fields of automatic driving, UAV navigation and precision mapping.…”
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Hardware and Software Synthesis of Heterogeneous Systems from Dataflow Programs by Ghislain Roquier, Endri Bezati, Marco Mattavelli

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Cyber-Physical System Interface for Implantable Esophageal Prosthesis by Ana Magdalena Anghel, Teodora Mîndra

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An Effective Speaker Clustering Method using UBM and Ultra-Short Training Utterances by Robert HOSSA, Ryszard Andrzej MAKOWSKI

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Advances and Challenges in Automated Drowning Detection and Prevention Systems by Maad Shatnawi, Frdoos Albreiki, Ashwaq Alkhoori, Mariam Alhebshi, Anas Shatnawi

“…In this paper, we propose a comprehensive review of recent existing advancements in automated drowning detection and prevention systems. The existing approaches can be broadly categorized according to their objectives into two main groups: detection-based systems, which alert lifeguards or parents to perform manual rescues, and detection and rescue-based systems, which integrate detection with automatic rescue mechanisms. …”
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Colorectal cancer unmasked: A synergistic AI framework for Hyper-granular image dissection, precision segmentation, and automated diagnosis by Akella S. Narasimha Raju, K. Venkatesh, M. Rajababu, Ranjith Kumar Gatla, Shaik Jakeer Hussain, G. Satya Mohan Chowdary, T. Ganga Bhavani, Mohammed Kareemullah, Sameer Algburi, Ali Majdi, Ahmed M. Abdulhadi, Wahaj Ahmad Khan

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Identification of Two-Time Scaled Systems Using Prefilters by Anderson L. O. Cavalcanti, Karl H. Kienitz, Visakan Kadirkamanathan

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Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates by Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni

“…Directed graphical models such as Bayesian nets are often used to implement intelligent tutoring systems able to interact in real-time with learners in a purely automatic way. …”
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Design and implementation of DSP on-chip Flash testing system by Wang Tao, Yu Peng, Qian Yunying

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Integration of AI in Self-Powered IoT Sensor Systems by Cosmina-Mihaela Rosca, Adrian Stancu

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A 10-meter global terrace mapping using sentinel-2 imagery and topographic features with deep learning methods and cloud computing platform support by Yifan Li, Fuyou Tian, Miao Zhang, Hongwei Zeng, Shukri Ahmed, Xinli Qin, Yanxu Liu, Lizhe Wang, Runyu Fan, Bingfang Wu

“…The entire data processing workflow, using Google Earth Engine for data acquisition, Google Drive for storage, Google Earth Pro for computational capabilities, and the T4 GPU in cloud computing resources, requires approximately 625 h. …”
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Ontological Airspace-Situation Awareness for Decision System Support by Carlos C. Insaurralde, Erik Blasch

“…Air Traffic Management (ATM) has become complicated mainly due to the increase and variety of input information from Communication, Navigation, and Surveillance (CNS) systems as well as the proliferation of Unmanned Aerial Vehicles (UAVs) requiring Unmanned Aerial System Traffic Management (UTM). …”
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Hybrid Deep Learning for Fault Diagnosis in Photovoltaic Systems by Mouaad Bougoffa, Samir Benmoussa, Mohand Djeziri, Olivier Palais

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DeepLASD countermeasure for logical access audio spoofing by Hamed Al-Tairi, Ali Javed, Tasawer Khan, Abdul Khader Jilani Saudagar

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Intelligent air traffic control using NLP-enhanced speech recognition and natural language generation by Amany M. Sarhan, Rawda Fathy, Hesham A. Ali

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