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Sensors, Vol. 23, Pages 4106: Electrochemical and Photoelectrochemical Immunosensors for the Detection of Ovarian Cancer Biomarkers
This article is a review of studies on electrochemical (EC) and PEC sensors for ovarian cancer biomarkers in the last seven years (2016–2022). EC sensors were included because PEC is an improved EC; and a comparison of both systems has, expectedly, been carried out in many studies. Specific attention was given to the different markers of ovarian cancer and the EC/PEC sensing platforms developed for their detection/quantification. Relevant articles were sourced from the following databases: Scopus, PubMed Central, Web of Science, Science Direct, Academic Search Complete, EBSCO, CORE, Directory of open Access J...
Source: Sensors - April 19, 2023 Category: Biotechnology Authors: Ezinne U. Ekwujuru Abimbola M. Olatunde Michael J. Klink Cornelius C. Ssemakalu Muntuwenkosi M. Chili Moses G. Peleyeju Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1409: Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review
ka Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric ...
Source: Sensors - January 27, 2023 Category: Biotechnology Authors: Sylwia Werbi ńska-Wojciechowska Klaudia Winiarska Tags: Review Source Type: research

Sensors, Vol. 23, Pages 513: VERD: Emergence of Product-Based Video E-Commerce Retrieval Dataset from User & rsquo;s Perspective
Sensors, Vol. 23, Pages 513: VERD: Emergence of Product-Based Video E-Commerce Retrieval Dataset from User’s Perspective Sensors doi: 10.3390/s23010513 Authors: Gwangjin Lee Won Jo Yukyung Choi Customer demands for product search are growing as a result of the recent growth of the e-commerce market. According to this trend, studies on object-centric retrieval using product images have emerged, but it is difficult to respond to complex user-environment scenarios and a search requires a vast amount of data. In this paper, we propose the Video E-commerce Retrieval Dataset (VERD), which utilizes user-pers...
Source: Sensors - January 3, 2023 Category: Biotechnology Authors: Gwangjin Lee Won Jo Yukyung Choi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8016: A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications
Conclusions: In this review paper, summaries of the time series classification models and interpretation methods for biomedical applications are summarized and categorized. While high time series classification performance has been achieved in digital clinical, physiological, or biomedical measures, no standard benchmark datasets, modeling methods, or reporting methodology exist. There is no single widely used method for time series model development or feature interpretation, however many different methods have proven successful.
Source: Sensors - October 20, 2022 Category: Biotechnology Authors: Will Ke Wang Ina Chen Leeor Hershkovich Jiamu Yang Ayush Shetty Geetika Singh Yihang Jiang Aditya Kotla Jason Zisheng Shang Rushil Yerrabelli Ali R. Roghanizad Md Mobashir Hasan Shandhi Jessilyn Dunn Tags: Review Source Type: research

Sensors, Vol. 22, Pages 7165: High-Accuracy Height-Independent 3D VLP Based on Received Signal Strength Ratio
Liangyin Chen Visible light positioning (VLP) has attracted intensive attention from both academic and industrial communities thanks to its high accuracy, immunity to electromagnetic interference, and low deployment cost. In general, the receiver in a VLP system determines its own position by exploring the received signal strength (RSS) from the transmitter according to a pre-built RSS attenuation model. In such model-based methods, the LED’s emission power and the receiver’s height are usually required known and constant parameters to obtain reasonable positioning accuracy. However, the LED...
Source: Sensors - September 21, 2022 Category: Biotechnology Authors: Yihuai Xu Xin Hu Yimao Sun Yanbing Yang Lei Zhang Xiong Deng Liangyin Chen Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5236: WLAN RSS-Based Fingerprinting for Indoor Localization: A Machine Learning Inspired Bag-of-Features Approach
a Min Jia Location-based services have permeated Smart academic institutions, enhancing the quality of higher education. Position information of people and objects can predict different potential requirements and provide relevant services to meet those needs. Indoor positioning system (IPS) research has attained robust location-based services in complex indoor structures. Unforeseeable propagation loss in complex indoor environments results in poor localization accuracy of the system. Various IPSs have been developed based on fingerprinting to precisely locate an object even in the presence of indoor artifacts such a...
Source: Sensors - July 13, 2022 Category: Biotechnology Authors: Sohaib Bin Altaf Khattak Fawad Moustafa M. Nasralla Maged Abdullah Esmail Hala Mostafa Min Jia Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1786: Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone
ene The coupling of drones and IoT is a major topics in academia and industry since it significantly contributes towards making human life safer and smarter. Using drones is seen as a robust approach for mobile remote sensing operations, such as search-and-rescue missions, due to their speed and efficiency, which could seriously affect victims’ chances of survival. This paper aims to modify the Hata-Davidson empirical propagation model based on RF drone measurement to conduct searches for missing persons in complex environments with rugged areas after manmade or natural disasters. A drone was coupled with...
Source: Sensors - February 24, 2022 Category: Biotechnology Authors: Faris A. Almalki Ben Othman Soufiene Tags: Article Source Type: research

Sensors, Vol. 22, Pages 66: Industry 4.0: A Proposal of Paradigm Organization Schemes from a Systematic Literature Review
This study starts with an exhaustive search for updated scientific information of which a bibliometric analysis is carried out with results presented in different tables and graphs. Subsequently, based on the qualitative analysis of the references, we present two proposals for the schematic analysis of Industry 4.0 that will help academia and companies to support digital transformation studies. The results will allow us to perform a simple alternative analysis of Industry 4.0 to understand the functions and scope of the integrating technologies to achieve a better collaboration of each area of knowledge and each profession...
Source: Sensors - December 23, 2021 Category: Biotechnology Authors: Cristian Rocha-J ácome Ram ón González Carvajal Fernando Mu ñoz Chavero Esteban Guevara-Cabezas Eduardo Hidalgo Hidalgo Fort Tags: Review Source Type: research

Sensors, Vol. 19, Pages 3468: Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition
ng Wang Sensor-based human activity recognition (HAR) has attracted interest both in academic and applied fields, and can be utilized in health-related areas, fitness, sports training, etc. With a view to improving the performance of sensor-based HAR and optimizing the generalizability and diversity of the base classifier of the ensemble system, a novel HAR approach (pairwise diversity measure and glowworm swarm optimization-based selective ensemble learning, DMGSOSEN) that utilizes ensemble learning with differentiated extreme learning machines (ELMs) is proposed in this paper. Firstly, the bootstrap sampling metho...
Source: Sensors - August 7, 2019 Category: Biotechnology Authors: Tian Zhang Chen Geng Wang Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3595: Automatic Detection of Missing Access Points in Indoor Positioning System †
er The paper presents a Wi-Fi-based indoor localisation system. It consists of two main parts, the localisation model and an Access Points (APs) detection module. The system uses a received signal strength (RSS) gathered by multiple mobile terminals to detect which AP should be included in the localisation model and whether the model needs to be updated (rebuilt). The rebuilding of the localisation model prevents the localisation system from a significant loss of accuracy. The proposed automatic detection of missing APs has a universal character and it can be applied to any Wi-Fi localisation model which was created us...
Source: Sensors - October 23, 2018 Category: Biotechnology Authors: Rafa ł Górak Marcin Luckner Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2853: Experimental Study of LoRa Transmission over Seawater
Zennaro Low Power Wide Area Networks (LPWANs) are gaining attention in both academia and industry by offering the possibility of connecting a large number of nodes over extended distances. LoRa is one of the technologies used as a physical layer in such networks. This paper investigates the LoRa links over seawater in two typical scenarios: clear Line-of-Sight (LOS) and obstructed path in two different Industrial, Scientific and Medical (ISM) radio bands: 868 MHz and 434 MHz. We used three different LoRa devices in the experiments: the Own Developed LoRa Transceiver (ODT) and two commercial transceivers. Firstly we...
Source: Sensors - August 29, 2018 Category: Biotechnology Authors: Nikola Jovalekic Vujo Drndarevic Ermanno Pietrosemoli Iain Zennaro Tags: Article Source Type: research

Sensors, Vol. 18, Pages 561: Force Modeling, Identification, and Feedback Control of Robot-Assisted Needle Insertion: A Survey of the Literature
ong Sun Robot-assisted surgery is of growing interest in the surgical and engineering communities. The use of robots allows surgery to be performed with precision using smaller instruments and incisions, resulting in shorter healing times. However, using current technology, an operator cannot directly feel the operation because the surgeon-instrument and instrument-tissue interaction force feedbacks are lost during needle insertion. Advancements in force feedback and control not only help reduce tissue deformation and needle deflection but also provide the surgeon with better control over the surgical instruments. The ...
Source: Sensors - February 12, 2018 Category: Biotechnology Authors: Chongjun Yang Yu Xie Shuang Liu Dong Sun Tags: Review Source Type: research

Sensors, Vol. 15, Pages 24791-24817: PRIMAL: Page Rank-Based Indoor Mapping and Localization Using Gene-Sequenced Unlabeled WLAN Received Signal Strength
Due to the wide deployment of wireless local area networks (WLAN), received signal strength (RSS)-based indoor WLAN localization has attracted considerable attention in both academia and industry. In this paper, we propose a novel page rank-based indoor mapping and localization (PRIMAL) by using the gene-sequenced unlabeled WLAN RSS for simultaneous localization and mapping (SLAM). Specifically, first of all, based on the observation of the motion patterns of the people in the target environment, we use the Allen logic to construct the mobility graph to characterize the connectivity among different areas of interest. Secon...
Source: Sensors - September 25, 2015 Category: Biotechnology Authors: Mu ZhouQiao ZhangKunjie XuZengshan TianYanmeng WangWei He Tags: Article Source Type: research