Filtered By:
Source: Sensors

This page shows you your search results in order of date. This is page number 9.

Order by Relevance | Date

Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 4124: A Multi-Strategy Improved Sparrow Search Algorithm for Coverage Optimization in a WSN
ihang Zhu To address the problems of low monitoring area coverage rate and the long moving distance of nodes in the process of coverage optimization in wireless sensor networks (WSNs), a multi-strategy improved sparrow search algorithm for coverage optimization in a WSN (IM-DTSSA) is proposed. Firstly, Delaunay triangulation is used to locate the uncovered areas in the network and optimize the initial population of the IM-DTSSA algorithm, which can improve the convergence speed and search accuracy of the algorithm. Secondly, the quality and quantity of the explorer population in the sparrow search algorithm are optimiz...
Source: Sensors - April 20, 2023 Category: Biotechnology Authors: Hui Chen Xu Wang Bin Ge Tian Zhang Zihang Zhu Tags: Article Source Type: research

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 4007: Automated Machine Learning Strategies for Multi-Parameter Optimisation of a Caesium-Based Portable Zero-Field Magnetometer
aul F. Griffin Machine learning (ML) is an effective tool to interrogate complex systems to find optimal parameters more efficiently than through manual methods. This efficiency is particularly important for systems with complex dynamics between multiple parameters and a subsequent high number of parameter configurations, where an exhaustive optimisation search would be impractical. Here we present a number of automated machine learning strategies utilised for optimisation of a single-beam caesium (Cs) spin exchange relaxation free (SERF) optically pumped magnetometer (OPM). The sensitivity of the OPM (T/Hz), is optimi...
Source: Sensors - April 15, 2023 Category: Biotechnology Authors: Rach Dawson Carolyn O ’Dwyer Edward Irwin Marcin S. Mrozowski Dominic Hunter Stuart Ingleby Erling Riis Paul F. Griffin Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3985: Signal Novelty Detection as an Intrinsic Reward for Robotics
In this study, an Autoencoder deep learning neural network was utilized as novelty detection for intrinsic rewards to guide the search process through a state space. The neural network processed signals from various types of sensors simultaneously. It was tested on simulated robotic agents in a benchmark set of classic control OpenAI Gym test environments (including Mountain Car, Acrobot, CartPole, and LunarLander), achieving more efficient and accurate robot control in three of the four tasks (with only slight degradation in the Lunar Lander task) when purely intrinsic rewards were used compared to standard extrinsic rewa...
Source: Sensors - April 14, 2023 Category: Biotechnology Authors: Martin Kubov čík Iveta Dirgov á Luptáková Ji ří Pospíchal Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3988: Indoor Robot Path Planning Using an Improved Whale Optimization Algorithm
Li An improved whale optimization algorithm is proposed to solve the problems of the original algorithm in indoor robot path planning, which has slow convergence speed, poor path finding ability, low efficiency, and is easily prone to falling into the local shortest path problem. First, an improved logistic chaotic mapping is applied to enrich the initial population of whales and improve the global search capability of the algorithm. Second, a nonlinear convergence factor is introduced, and the equilibrium parameter A is changed to balance the global and local search capabilities of the algorithm and improve the searc...
Source: Sensors - April 14, 2023 Category: Biotechnology Authors: Qing Si Changyong Li Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3960: Use, Validity and Reliability of Inertial Movement Units in Volleyball: Systematic Review of the Scientific Literature
rtega The use of inertial devices in sport has become increasingly common. The aim of this study was to examine the validity and reliability of multiple devices for measuring jump height in volleyball. The search was carried out in four databases (PubMed, Scopus, Web of Sciences and SPORTDiscus) using keywords and Boolean operators. Twenty-one studies were selected that met the established selection criteria. The studies focused on determining the validity and reliability of IMUs (52.38%), on controlling and quantifying external load (28.57%) and on describing differences between playing positions (19.05%). Indoor voll...
Source: Sensors - April 13, 2023 Category: Biotechnology Authors: Diego Hern án Villarejo-García Adri án Moreno-Villanueva Alejandro Soler-L ópez Pedro Reche-Soto Jos é Pino-Ortega Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 3942: SVR-Net: A Sparse Voxelized Recurrent Network for Robust Monocular SLAM with Direct TSDF Mapping
This study proposes a monocular SLAM system based on a sparse voxelized recurrent network, SVR-Net. It extracts voxel features from a pair of frames for correlation and recursively matches them to estimate pose and dense map. The sparse voxelized structure is designed to reduce memory occupation of voxel features. Meanwhile, gated recurrent units are incorporated to iteratively search for optimal matches on correlation maps, thereby enhancing the robustness of the system. Additionally, Gauss–Newton updates are embedded in iterations to impose geometrical constraints, which ensure accurate pose estimation. Aft...
Source: Sensors - April 13, 2023 Category: Biotechnology Authors: Rongling Lang Ya Fan Qing Chang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3922: Small Zoom Mismatch Adjustment Method for Dual-Band Fusion Imaging System Based on Edge-Gradient Normalized Mutual Information
g Li Li Currently, automatic optical zoom setups are being extensively explored for their applications in search, detection, recognition, and tracking. In visible and infrared fusion imaging systems with continuous zoom, dual-channel multi-sensor field-of-view matching control in the process of synchronous continuous zoom can be achieved by pre-calibration. However, mechanical and transmission errors of the zoom mechanism produce a small mismatch in the field of view after co-zooming, degrading the sharpness of the fusion image. Therefore, a dynamic small-mismatch detection method is necessary. This paper presents th...
Source: Sensors - April 12, 2023 Category: Biotechnology Authors: Jieling Chen Zhihao Liu Weiqi Jin Jianguo Yang Li Li Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3834: A Comparative Study of Structural Deformation Test Based on Edge Detection and Digital Image Correlation
Banfu Yan Digital image-correlation (DIC) algorithms rely heavily on the accuracy of the initial values provided by whole-pixel search algorithms for structural displacement monitoring. When the measured displacement is too large or exceeds the search domain, the calculation time and memory consumption of the DIC algorithm will increase greatly, and even fail to obtain the correct result. The paper introduced two edge-detection algorithms, Canny and Zernike moments in digital image-processing (DIP) technology, to perform geometric fitting and sub-pixel positioning on the specific pattern target pasted on the measuremen...
Source: Sensors - April 8, 2023 Category: Biotechnology Authors: Ruixiang Tang Wenbing Chen Yousong Wu Hongbin Xiong Banfu Yan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3752: Recent Advancements and Challenges of AIoT Application in Smart Agriculture: A Review
beri Mohamad As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture sce...
Source: Sensors - April 5, 2023 Category: Biotechnology Authors: Hasyiya Karimah Adli Muhammad Akmal Remli Khairul Nizar Syazwan Wan Salihin Wong Nor Alina Ismail Alfonso Gonz ález-Briones Juan Manuel Corchado Mohd Saberi Mohamad Tags: Review Source Type: research

Sensors, Vol. 23, Pages 3714: Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study
This study presents a wrapper-based metaheuristic feature selection framework for BCI applications using functional near-infrared spectroscopy (fNIRS). Here, the temporal statistical features (i.e., the mean, slope, maximum, skewness, and kurtosis) were computed from all the available channels to form a training vector. Seven metaheuristic optimization algorithms were tested for their classification performance using a k-nearest neighbor-based cost function: particle swarm optimization, cuckoo search optimization, the firefly algorithm, the bat algorithm, flower pollination optimization, whale optimization, and grey wolf o...
Source: Sensors - April 3, 2023 Category: Biotechnology Authors: Amad Zafar Shaik Javeed Hussain Muhammad Umair Ali Seung Won Lee Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3664: An Effective and Efficient Approach for 3D Recovery of Human Motion Capture Data
ger In this work, we propose a novel data-driven approach to recover missing or corrupted motion capture data, either in the form of 3D skeleton joints or 3D marker trajectories. We construct a knowledge-base that contains prior existing knowledge, which helps us to make it possible to infer missing or corrupted information of the motion capture data. We then build a kd-tree in parallel fashion on the GPU for fast search and retrieval of this already available knowledge in the form of nearest neighbors from the knowledge-base efficiently. We exploit the concept of histograms to organize the data and use an off-the-she...
Source: Sensors - March 31, 2023 Category: Biotechnology Authors: Hashim Yasin Saba Ghani Bj örn Krüger Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3626: Optimized Design of Distributed Quasi-Cyclic LDPC Coded Spatial Modulation
ongjun Xu We propose a distributed quasi-cyclic low-density parity-check (QC-LDPC) coded spatial modulation (D-QC-LDPCC-SM) scheme with source, relay and destination nodes. At the source and relay, two distinct QC-LDPC codes are used. The relay chooses partial source information bits for further encoding, and a distributed code corresponding to each selection is generated at the destination. To construct the best code, the optimal information bit selection algorithm by exhaustive search in the relay is proposed. However, the exhaustive-based search algorithm has large complexity for QC-LDPC codes with long block length...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: Chunli Zhao Fengfan Yang Daniel Kariuki Waweru Chen Chen Hongjun Xu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3600: A Modeling Method for Thermal Error Prediction of CNC Machine Equipment Based on Sparrow Search Algorithm and Long Short-Term Memory Neural Network
i Guo To better solve the problem of thermal error of computerized numerical control machining equipment (CNCME), a thermal error prediction model based on the sparrow search algorithm and long short-term memory neural network (SSA-LSTMNN) is proposed. Firstly, the Fuzzy C-means clustering algorithm (FCMCA) is used to screen the key temperature-sensitive points of the CNCME. Secondly, by taking the temperature rise data of key temperature-sensitive points as input and the corresponding time thermal error data as output, we established the SSA-LSTMNN thermal error prediction model. The SSA is used to optimize the parame...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: Ying Gao Xiaojun Xia Yinrui Guo Tags: Article Source Type: research

Sensors, Vol. 23, Pages 3597: Involvement of Human Volunteers in the Development and Evaluation of Wearable Devices Designed to Improve Medication Adherence: A Scoping Review
ho Wearable devices designed to improve medication adherence can emit audible and vibrating alerts or send text messages to users. However, there is little information on the validation of these technologies. The aim of this scoping review was to investigate the involvement of human volunteers in the development and evaluation of wearable devices. A literature search was conducted using six databases (MEDLINE, Embase, Scopus, CINAHL, PsycInfo, and Web of Science) up to March 2020. A total of 7087 records were identified, and nine studies were included. The wearable technologies most investigated were smartwatches (n = ...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: L ívia Luize Marengo Silvio Barberato-Filho Tags: Review Source Type: research