Real-Time Diagnostic Technique for AI-Enabled System by Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, Subrata Kumar Kundu

“…The last few decades have witnessed a dramatic evolution of Artificial Intelligence (AI) algorithms, represented by Deep Neural Networks (DNNs), resulting in AI-enabled systems being significantly dominant in various fields, including robotics, healthcare, and mobility. AI-enabled systems are currently used even for safety-critical applications, including automated driving, where they encounter reliability challenges from both hardware (HW) and software (SW) perspectives. …”
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Calibration between a panoramic LiDAR and a limited field-of-view depth camera by Weijie Tang, Bin Wang, Longxiang Huang, Xu Yang, Qian Zhang, Sulei Zhu, Yan Ma

“…Abstract Depth cameras and LiDARs are commonly used sensing devices widely applied in fields such as autonomous driving, navigation, and robotics. Precise calibration between the two is crucial for accurate environmental perception and localization. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…In contrast to humans, robots do not grow tired from doing the same thing again and again. …”
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Demystifying early childhood computational thinking: An umbrella review to upgrade the field by Weipeng Yang, Jiahong Su, Hui Li

“…Efficacy was noted in tangible activities like unplugged applications and robotics in enhancing concrete understanding and competencies in coding, CT, and spatial skills. …”
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How knee muscles and ground reaction forces shape knee buckling and ankle push-off in neuromuscular simulations of human walking by Alexandra Buchmann, Bernadett Kiss, Alexander Badri-Spröwitz, Daniel Renjewski

“…Our findings contribute to the biomechanical understanding of ankle push-off, with applications in prosthetic and bipedal robotic design, and fundamental research on human gait mechanics.…”
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Six-Dimensional Pose Estimation of Molecular Sieve Drying Package Based on Red Green Blue–Depth Camera by Yibing Chen, Songxiao Cao, Qixuan Wang, Zhipeng Xu, Tao Song, Qing Jiang

“…This paper aims to address the challenge of precise robotic grasping of molecular sieve drying bags during automated packaging by proposing a six-dimensional (6D) pose estimation method based on an red green blue-depth (RGB-D) camera. …”
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Electret integrated magnetic field sensor based on magnetostrictive polymer composite with nT resolution by Lukas Zimoch, Stefan Schröder, Eric Elzenheimer, Sören Kaps, Thomas Strunskus, Franz Faupel, Michael Höft, Rainer Adelung

“…Abstract The pursuit for advanced magnetoelectric field sensors has gained momentum, driven by applications in various fields, ranging from biomedical applications to soft robotics and the automotive sector. In this context, a capacitive read-out based magnetostrictive polymer composite (MPC) sensor element is introduced, offering a new perspective on magnetic field detection. …”
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A Decision-Making Method Providing Sustainability to FPGA-Based SoCs by Run-Time Structural Adaptation to Mode of Operation, Power Budget, and Die Temperature Variations by Dimple Sharma, Lev Kirischian

“…One of the growing areas of application of embedded systems in robotics, aerospace, military, etc. is autonomous mobile systems. …”
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Enhancing helmet pressure sensing with advanced 3D printed gyroid architectures by Chao Bao, Danielle Jaye Agron, Taeil Kim, Chris Vattathichirayi, Edwin L. Thomas, Woo Soo Kim

“…Additionally, we develop a G slab-based capacitive pressure sensor using advanced robotic 3D printing technology, achieving an impressive pressure sensitivity of 78.43 MPa−1 in the range of 0–0.060 MPa, with a sensitivity of 13.72 MPa−1 at operational pressures up to 0.181 MPa. …”
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Nonlinear vibration analysis of a 3DOF double pendulum system near resonance by Asmaa Amer, W. Zhang, T.S. Amer, H. Li

“…The significance of the research model stems from its numerous applications such as the gantry cranes, robotics, pump compressors, transportation devices and rotor dynamics. …”
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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data by Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam

“…In contemporary industrial, robotics, and technical education settings, the efficient detection and sorting of electronic components play a pivotal role in advancing automation and increasing efficiency in these sectors. …”
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A compliant metastructure design with reconfigurability up to six degrees of freedom by Humphrey Yang, Dinesh K. Patel, Tate Johnson, Ke Zhong, Gina Olson, Carmel Majidi, Mohammad F. Islam, Teng Zhang, Lining Yao

“…Abstract Compliant mechanisms with reconfigurable degrees of freedom are gaining attention in the development of kinesthetic haptic devices, robotic systems, and mechanical metamaterials. However, available devices exhibit limited programmability and form-customizability, restricting their versatility. …”
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Latest Advances in Intersphincteric Resection for Low Rectal Cancer by Yifan Xv, Jiajun Fan, Yuan Ding, Yang Hu, Yingjie Hu, Zhengjie Jiang, Qingsong Tao

“…Laparoscopic ISR and robotic ISR have been widely used with the proposal of 2 cm or even 1 cm rule of distal free margin and the development of minimally invasive technology. …”
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Dataguzzler-Python and SpatialNDE2: Crucial Software Infrastructure for Reconfigurable NDE Data Acquisition With Spatial Context by Tyler J. Lesthaeghe, Stephen D. Holland

“…We propose an alternative approach that addresses the need for agility in the modern NDE laboratory: a reconfigurable, modular software architecture that is built from the ground up to accommodate conflicting requirements in the areas of data management, automation, parallelism, geometry and robotics, and version control. We describe a new pair of open-source tools, Dataguzzler-Python and SpatialNDE2, that facilitate instrumentation control, data acquisition, and processing for the NDE laboratory. …”
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3D LiDAR Multi-Object Tracking Using Multi Positive Contrastive Learning and Deep Reinforcement Learning by Minho Cho, Euntai Kim

“…Due to its precise distance measurement capabilities, 3D LiDAR is a critical sensor in autonomous systems, including autonomous vehicles and self-driving robots. It plays a key role in Multi-Object Tracking (MOT). …”
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Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes by Baofeng Ye, Renzheng Xue

“…To ensure that semantic segmentation has practical application value in autonomous driving and robotics, it must achieve corresponding real-time inference speeds. …”
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An Algorithm for Retrieving Precipitable Water Vapor over Land Based on Passive Microwave Satellite Data by Fang-Cheng Zhou, Xiaoning Song, Pei Leng, Hua Wu, Bo-Hui Tang

“…Error analyses were performed using radiosonde sounding observations from Zhangye, China, and CE318 measurements of Dalanzadgad (43°34′37′′N, 104°25′8′′E) and Singapore (1°17′52′′N, 103°46′48′′E) sites from Aerosol Robotic Network (AERONET), respectively. In Zhangye, the algorithm had a Root Mean Square Error (RMSE) of 4.39 mm and a bias of 0.36 mm on cloud-free days, while on cloudy days there was an RMSE of 4.84 mm and a bias of 0.52 mm because of the effect of liquid water in clouds. …”
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Opportunities of Artificial Intelligence and Machine Learning in the Food Industry by Indrajeet Kumar, Jyoti Rawat, Noor Mohd, Shahnawaz Husain

“…With the help of AI and ML, the future of food industries is completely based on smart farming, robotic farming, and drones.…”
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Understanding collective behavior in biological systems through potential field mechanisms by Junqiao Zhang, Qiang Qu, Xuebo Chen

“…This framework enhances our understanding of collective behavior and has implications for bio-robotics, distributed systems, and complex networks.…”
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Digital technology and artificial intelligence issues in scientific works by A. N. Timokhovich, E. G. Samokhodkina, E. V. Samokhodkin, A. A. Elzon

“…The main semantic units, reflecting different aspects of the research field are digitalization; artificial intelligence (additional semantic units: knowledge representation, theorem proving, computer vision, robotics, machine learning, multi-agent systems, artificial intelligence tools); neural networks (additional semantic units: learning with a teacher, learning without a teacher, input data); strong or general artificial intelligence, weak or applied artificial intelligence; Marusya voice assistant, Alisa voice assistant, Siri voice assistant, Bixby voice assistant, Google Assistant; speech recognition, fingerprint recognition, human face identification. …”
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