A Survey of Deep Learning-Driven 3D Object Detection: Sensor Modalities, Technical Architectures, and Applications by Xiang Zhang, Hai Wang, Haoran Dong

“…This review presents a comprehensive survey on deep learning-driven 3D object detection, focusing on the synergistic innovation between sensor modalities and technical architectures. …”
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A Robust Method for Validating Orientation Sensors Using a Robot Arm as a High-Precision Reference by József Kuti, Tamás Piricz, Péter Galambos

“…This paper presents a robust and efficient method for validating the accuracy of orientation sensors commonly used in practical applications, leveraging measurements from a commercial robotic manipulator as a high-precision reference. …”
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Human Depth Sensors-Based Activity Recognition Using Spatiotemporal Features and Hidden Markov Model for Smart Environments by Ahmad Jalal, Shaharyar Kamal, Daijin Kim

“…Nowadays, advancements in depth imaging technologies have made human activity recognition (HAR) reliable without attaching optical markers or any other motion sensors to human body parts. This study presents a depth imaging-based HAR system to monitor and recognize human activities. …”
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Tunable Multimode Fiber Based Filter and Its Application in Cost-Effective Interrogation of Fiber-Optic Temperature Sensors by Li Wei, Anum Khattak, Connor Martz, Da-Peng Zhou

“…We present a new tunable all-fiber compact multimode fiber (MMF)-based filter and its applications in fiber sensors. …”
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Reusable thiophene-based fluorescent sensor for detection of toxic Au³ ⁺ in real samples: Integrated spectroscopic and computational insight by Hasher Irshad, Katrine Qvortrup

“…Therefore, convenient chemical sensors are required for Au3+ monitoring. In this study, we present a novel carbazole-extended thiophene-containing electron rich organic compound (CT) and studied its interaction with Au3+ along with a range of sulphur containing small organic molecules through fluorescence, UV Vis. and NMR spectroscopy. …”
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Hybrid FPGA-CPU-GPU system for real-time multiphase flow monitoring using wire-mesh sensors by Benjamin Sahovic, Michael Quinten

“…Reliable, real-time monitoring of multiphase flows is essential for continuous industrial processes such as oil-water separation, chemical reactor control, and flow diagnostics. This paper presents a hybrid FPGA-CPU-GPU system for processing Wire-Mesh Sensor (WMS) data in real time, enabling continuous, high-resolution estimation of void fraction and gas-liquid interface velocity.The system combines high-speed signal acquisition with adaptive calibration and multiple velocity estimation methods, including histogram-based approaches and cross-correlation techniques. …”
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Highly Sensitive Pressure Transducer for Measuring Arterial Pulse Wave Velocity Based on Giant Magneto-Impedance Sensors by Lizeth Stefanía Benavides Cabrera, Eduardo Costa da Silva, Elisabeth Costa Monteiro

“…Aiming at improving the assessment of PWV parameter, an important cardiovascular risk marker, the present study introduces a new arterial pulse wave measurement technique based on measurements of the impedance phase characteristics of giant magneto-impedance (GMI) sensors submitted to slight magnetic field variations caused by the displacement of a small magnetic marker placed on the patient’s skin, whose movement is coordinated by the local pressure wave. …”
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Instantaneous self-recovery and ultra-low detection limit hydrogel electronic sensor for temporomandibular disorders intelligent diagnosis by Yujie Yan, Lixia Yu, Xuefeng Zhang, Qi Han, Zhixin Yang, Xingyuan Lu, Jiongke Wang, Hao Xu, Qianming Chen, Hang Zhao

“…Here we report a biocompatible hydrogel electronic sensor with instantaneous self-recovery (within 2.1 s) and ultra-low detection limit (0.005% strain). …”
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An Electrochemical Nickel–Cobalt (Ni–Co)/Graphene Oxide-Polyvinyl Alcohol (GO-PVA) Sensor for Glucose Detection by Shu-Hui Yeh, Yaw-Jen Chang, Chun-Yi Hsieh

“…This paper presents a non-enzymatic sensor for glucose detection in an environment where glucose and insulin coexist. …”
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Real-Time precision prehospital stroke diagnosis in weightlifting athletes using cutting-edge non-invasive sensors by Azhar Tursynova, Bolganay Kaldarova

“…The study introduces an advanced non-invasive sensor system, integrated into a cohesive Internet of Medical Things (IoMT) framework, which facilitates the immediate and accurate assessment of athletes' health parameters. …”
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Wireless sensor network design for smart grids and Internet of things for ambient living using cross-layer techniques by Jaffar Ali, Javed Iqbal, Shabbir Majeed, Imran Ahmed Mughal, Awais Ahmad, Salman Ahmed

“…Each sensor node sends the data to the nodes present in the connected dominating set, which forwards it to their respective destinations. …”
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An Empirical Evaluation of Lightweight Random Walk Based Routing Protocol in Duty Cycle Aware Wireless Sensor Networks by Adnan Noor Mian, Mehwish Fatima, Raees Khan, Ravi Prakash

“…Due to their inherent characteristics, many traditional routing protocols show low performance in densely deployed WSNs with duty cycle awareness, when sensor nodes are supposed to have high mobility. In this paper we first present a three messages exchange Lightweight Random Walk Routing (LRWR) protocol and then evaluate its performance in WSNs for routing low data rate packets. …”
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Connectivity Recovery Based on Boundary Nodes and Spatial Triangle Fermat Points for Three-Dimensional Wireless Sensor Networks by Hongsheng Chen, Ke Shi

“…However, the problem of finding the minimum relay nodes is NP-hard, so heuristics methods are preferred. This paper presents a novel connectivity recovery strategy based on boundary nodes and spatial triangle Fermat points for three-dimensional wireless sensor networks. …”
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Flexible FLIG-Based Temperature Sensor Enabled by Femtosecond Laser Direct Writing for Thermal Monitoring in Health Systems by Huansheng Wu, Cong Wang, Linpeng Liu, Ji’an Duan

“…This work presents a viable and scalable methodology for fabricating high-performance FLIG-based flexible temperature sensors, with extensive application prospects in wearable electronics, electronic skin, and intelligent human–machine interfaces.…”
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TinyML-Based Real-Time Drift Compensation for Gas Sensors Using Spectral–Temporal Neural Networks by Adir Krayden, M. Avraham, H. Ashkar, T. Blank, S. Stolyarova, Yael Nemirovsky

“…The implementation of low-cost sensitive and selective gas sensors for monitoring fruit ripening and quality strongly depends on their long-term stability. …”
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AI enhanced metasurface sensor design for ultra-sensitive terahertz gas detection using 2D materials by Jacob Wekalao, Hussein A. Elsayed, Nassir Saad Alarifi, Mostafa R. Abukhadra, Stefano Bellucci, Ahmed Mehaney

“…Recent advancements in gas sensing technologies have significantly enhanced the detection and monitoring of gases across various applications, including environmental protection and industrial safety. This paper presents a novel metasurface-based sensor design that integrates advanced two-dimensional materials, such as graphene, copper, and MXene, to achieve high sensitivity and selectivity in terahertz gas detection. …”
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Measurement of K fluorescence analysis in ancient bone using X-ray transition edge sensor and semiconductor detectors by Zhi-Wei Li, Si-Ming Guo, Shuo Zhang, Jin-Jie Wu, Zhen Wang, Nan Li, Zhong-Tao Wang

“…Abstract Transition edge sensor (TES) have high energy resolution, which can extremely improve in various scientific experiments the energy spectrum analysis capability and have a wide range of applications in almost all fields covering the whole wave band of electromagnetic waves. …”
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Innovative approaches to English pronunciation instruction in ESL contexts: integration of multi-sensor detection and advanced algorithmic feedback by Li Ping, Ning Tao

“…The integration of multi-sensor detection and neural network evaluation provides precise results, outperforming traditional approaches.…”
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BS-SCRM: a novel approach to secure wireless sensor networks via blockchain and swarm intelligence techniques by Jing Xiao, Chaoqun Li, Zhigang Li, Jie Zhou

“…Abstract In this paper, we present a novel Secure Clustering Routing Method based on Blockchain and Swarm Intelligence (BS-SCRM) for Wireless Sensor Networks (WSNs), which serves as a cornerstone in the Internet of Things (IoT) infrastructure. …”
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Lower Limb Movement during 10-Meter Walk Test: A Dataset with Inertial, Magnetic, and Temperature Sensors by Maykol Santos, Andrés Caro Lindo, Carlos Albuquerque, Paulo Jorge Coelho, Ivan Miguel Pires

“…The study utilized SensorTileBox sensors integrated into shin pads to capture detailed movement and environmental data from participants. …”
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