Search Results - "Sensors (Basel, Switzerland)"

A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors by Naresh, Varnakavi, Lee, Nohyun

“…A biosensor is an integrated receptor-transducer device, which can convert a biological response into an electrical signal. The design and development of…”
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Electrochemical Impedance Spectroscopy (EIS): Principles, Construction, and Biosensing Applications by Magar, Hend S., Hassan, Rabeay Y. A., Mulchandani, Ashok

“…Electrochemical impedance spectroscopy (EIS) is a powerful technique used for the analysis of interfacial properties related to bio-recognition events…”
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SECOND: Sparsely Embedded Convolutional Detection by Yan, Yan, Mao, Yuxing, Li, Bo

“…LiDAR-based or RGB-D-based object detection is used in numerous applications, ranging from autonomous driving to robot vision. Voxel-based 3D convolutional…”
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Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications by Trojovský, Pavel, Dehghani, Mohammad

“…Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic…”
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Machine Learning in Agriculture: A Review by Liakos, Konstantinos G, Busato, Patrizia, Moshou, Dimitrios, Pearson, Simon, Bochtis, Dionysis

“…Machine learning has emerged with big data technologies and high-performance computing to create new opportunities for data intensive science in the…”
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Applications of Wireless Sensor Networks and Internet of Things Frameworks in the Industry Revolution 4.0: A Systematic Literature Review by Majid, Mamoona, Habib, Shaista, Javed, Abdul Rehman, Rizwan, Muhammad, Srivastava, Gautam, Gadekallu, Thippa Reddy, Lin, Jerry Chun-Wei

“…The 21st century has seen rapid changes in technology, industry, and social patterns. Most industries have moved towards automation, and human intervention has…”
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Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM by Srinivasu, Parvathaneni Naga, SivaSai, Jalluri Gnana, Ijaz, Muhammad Fazal, Bhoi, Akash Kumar, Kim, Wonjoon, Kang, James Jin

“…Deep learning models are efficient in learning the features that assist in understanding complex patterns precisely. This study proposed a computerized process…”
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Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs by Nepal, Upesh, Eslamiat, Hossein

“…In-flight system failure is one of the major safety concerns in the operation of unmanned aerial vehicles (UAVs) in urban environments. To address this…”
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Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review by Yeong, De Jong, Velasco-Hernandez, Gustavo, Barry, John, Walsh, Joseph

“…With the significant advancement of sensor and communication technology and the reliable application of obstacle detection techniques and algorithms, automated…”
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Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network by Minaee, Shervin, Minaei, Mehdi, Abdolrashidi, Amirali

“…Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation…”
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3D Deep Learning on Medical Images: A Review by Singh, Satya P, Wang, Lipo, Gupta, Sukrit, Goli, Haveesh, Padmanabhan, Parasuraman, Gulyás, Balázs

“…The rapid advancements in machine learning, graphics processing technologies and the availability of medical imaging data have led to a rapid increase in the…”
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Semiconductor Gas Sensors: Materials, Technology, Design, and Application by Nikolic, Maria Vesna, Milovanovic, Vladimir, Vasiljevic, Zorka Z, Stamenkovic, Zoran

“…This paper presents an overview of semiconductor materials used in gas sensors, their technology, design, and application. Semiconductor materials include…”
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Massive MIMO Systems for 5G and Beyond Networks-Overview, Recent Trends, Challenges, and Future Research Direction by Chataut, Robin, Akl, Robert

“…The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of wireless access technology known as massive…”
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Design of Ultra-Narrow Band Graphene Refractive Index Sensor by Shangguan, Qianyi, Chen, Zihao, Yang, Hua, Cheng, Shubo, Yang, Wenxing, Yi, Zao, Wu, Xianwen, Wang, Shifa, Yi, Yougen, Wu, Pinghui

“…The paper proposes an ultra-narrow band graphene refractive index sensor, consisting of a patterned graphene layer on the top, a dielectric layer of SiO2 in…”
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GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force by Yuan, Wenzhen, Dong, Siyuan, Adelson, Edward H

“…Tactile sensing is an important perception mode for robots, but the existing tactile technologies have multiple limitations. What kind of tactile information…”
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Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review by Fayyad, Jamil, Jaradat, Mohammad A., Gruyer, Dominique, Najjaran, Homayoun

“…Autonomous vehicles (AV) are expected to improve, reshape, and revolutionize the future of ground transportation. It is anticipated that ordinary vehicles will…”
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A Decentralized Privacy-Preserving Healthcare Blockchain for IoT by Dwivedi, Ashutosh Dhar, Srivastava, Gautam, Dhar, Shalini, Singh, Rajani

“…Medical care has become one of the most indispensable parts of human lives, leading to a dramatic increase in medical big data. To streamline the diagnosis and…”
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Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review by Azimi, Mohsen, Eslamlou, Armin Dadras, Pekcan, Gokhan

“…Data-driven methods in structural health monitoring (SHM) is gaining popularity due to recent technological advancements in sensors, as well as high-speed…”
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Removal of Artifacts from EEG Signals: A Review by Jiang, Xiao, Bian, Gui-Bin, Tian, Zean

“…Electroencephalogram (EEG) plays an important role in identifying brain activity and behavior. However, the recorded electrical activity always be contaminated…”
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A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases by Dhaka, Vijaypal Singh, Meena, Sangeeta Vaibhav, Rani, Geeta, Sinwar, Deepak, Kavita, Kavita, Ijaz, Muhammad Fazal, Woźniak, Marcin

“…In the modern era, deep learning techniques have emerged as powerful tools in image recognition. Convolutional Neural Networks, one of the deep learning tools,…”
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