Enhancement of convolutional neural network for urban environment parking space classification by S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan, S. Munzir

“…Modification of the Convolutional Neural Networks architecture is assumed to increase the work efficiency of the smart parking system in processing parking availability information.METHODS: Research is focusing on developing parking space classification techniques using camera sensors due to the rapid advancement of technology and algorithms in computer vision. …”
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Teknologi Irigasi Cerdas pada Sistem Irigasi Drip dengan Algoritma Ant Colony Optimization by Abdul Haris, Nabilla Anggraini, Hengki Sikumbang

“…Uji coba dilakukan dengan menggunakan 3 sensor, sebagai representasi 3 kondisi lahan yakni lahan basah, lahan normal dan lahan kering.  …”
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Water-Based Supplementation Technology for Grazing Cattle in the Tropics: A Large-Scale Commercial Case Study by Eliéder Prates Romanzini, Vivienne McCollum, Sarah Mcilveen, Evandro Maia Ferreira, William Luiz de Souza, Marcelo Augusto Oliveira Castro, Priscila Arrigucci Bernardes, Ryan J. Batley, Mark G. Trotter, Diogo Fleury Azevedo Costa

“…Additionally, 24 steers were equipped with on-animal sensors with GPS to monitor behavioral changes. The results indicate that despite the potential reduction in water intake (Control and Green: 948.1 and 973.5 L/d, respectively, versus 547.5 L/d for Blue), there were no negative effects on growth (mean average daily gain of 1.32 kg/d) or animal behaviors. …”
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Proteomic and serologic assessments of responses to mRNA-1273 and BNT162b2 vaccines in human recipient sera by Thomas E. Hickey, Uma Mudunuri, Heidi A. Hempel, Troy J. Kemp, Nancy V. Roche, Keyur Talsania, Brian A. Sellers, James M. Cherry, Ligia A. Pinto

“…In this proof-of-concept study, sera from male and female vaccine recipients were evaluated for proteomic and immunologic responses 1-month and 6-months following homologous third vaccination.MethodsAn aptamer-based (7,289 marker) proteomic assay coupled with traditional serology was leveraged to generate a comprehensive evaluation of systemic responsiveness in 64 and 68 healthy recipients of mRNA-1273 and BNT162b2 vaccines, respectively.ResultsSera from female recipients of mRNA-1273 showed upregulated indicators of inflammatory and immunological responses at 1-month post-third vaccination, and sera from female recipients of BNT162b2 demonstrated upregulated negative regulators of RNA sensors at 1-month. Sera from male recipients of mRNA-1273 showed no significant upregulation of pathways at 1-month post-third vaccination, though there were multiple significantly upregulated proteomic markers. …”
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A perspective on the current state of smartphone-based mobile applications for scar assessment by Peter Moortgat, Jill Meirte, Mieke Anthonissen, Koen Maertens, Thibau Demarbaix, Ulrike Van Daele

“…The increasing omnipresence of smartphones, equipped with high-resolution cameras and advanced sensors, presents an opportunity to address this gap by developing smartphone-based assessment tools. …”
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An Open-Source Multi-Robot Framework System for Collaborative Environments Based on ROS2 by Francisco Yumbla, Marcelo Fajardo-Pruna, Anthonny Piguave, Diego Ronquillo, Ricardo Ortiz, Jongseong Brad Choi, Gabriel Diaz, Xabiel G. Paneda, Hyungpil Moon

“…Under this context, an open-source MultiRobot Framework based on ROS2 was developed in the present research to effectively communicate and coordinate robotics agents and sensors in closed collaborative environments. A simulation-based control and software design was performed using the GAZEBO tool. …”
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THE APPLICATION OF IOT (INTERNET OF THINGS) FOR SMART HOUSING ENVIRONMENTS AND INTEGRATED ECOSYSTEMS by Andi Hildayanti, M Sya'Rani Machrizzandi

“…The results of this study indicate by connecting disparate building systems with networked IoT sensors and devices, smart building applications for smart housing environments and integrated ecosystems can use data across operations, providing greater visibility, valuable insights, and better occupant experiences. …”
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Experimental Study on Electric Resistivity Characteristics of Compacted Loess under Different Loads and Drying-Wetting Cycles by Yu Zhou, Guoyu Li, Wei Ma, Dun Chen, Fei Wang, Yuncheng Mao, Qingsong Du, Jun Zhang, Liyun Tang

“…Traditional methods applied to characterize soil engineering properties are primarily based on visual inspections, point sensors, or destructive approaches, the results of which often have relatively high costs and cannot provide large-area coverage. …”
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Advancements in Nanotechnology for Enhanced Food Safety and Hygiene: Pathogen Detection, Smart Packaging, and Preservation Applications by Farhang Hameed Awlqadr, Ammar B. Altemimi, Qausar Hamed AlKaisy, Syamand Ahmed Qadir, Aryan Mahmood Faraj, Tablo Azad H.Slih, Rawaa H. Tlay, Tarek Gamal Mohamed Abd El-Maksoud, Franscesco Cacciola

“…This review delves into the advancements in pathogen detection, smart packaging, and food preservation enabled by nanotechnology. Nanoparticle-based sensors have revolutionized the rapid identification of contaminants like Escherichia coli, Salmonella, and Listeria, offering higher sensitivity and specificity compared to traditional methods. …”
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Matrine disturbs the eimeria necatrix-induced loop of tuft cell-intestinal stem cell-goblet cell by inactivating IL-13/JAK2/STAT3 signaling by Geng-xiu Zan, Hao-zhan Qu, Jia Meng, Xiao-fan Wang, Hui-chao Yan, Xiu-qi Wang, Jia-yi Zhou

“…As sensors in the gut, tuft cells integrate a complex array of luminal signals to regulate the differentiation fate of intestinal stem cells (ISCs), which trigger a loop of tuft cell-ISC-goblet cell after parasitic infection. …”
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Integrating Two-Tier Optimization Algorithm With Convolutional Bi-LSTM Model for Robust Anomaly Detection in Autonomous Vehicles by Moneerah Alotaibi, Manal Abdullah Alohali, Khalid Mahmood, Asma A. Alhashmi, Jehad Saad Alqurni, Sultan Refa Alotaibi, Ahmad A. Alzahrani, Imene Issaoui

“…In contrast with traditional vehicles, which are fully coordinated and functioned by humans, AVs gather information regarding the exterior environment utilizing sensors to guarantee secure navigation. AVs decrease environmental effects since they regularly employ electricity to function rather than fossil fuel, thus diminishing greenhouse gasses. …”
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Sistem Akuaponik untuk Peternakan Lele dan Tanaman Kangkung Hidroponik Berbasis IoT dan Sistem Inferensi Fuzzy by Fachrul Rozie, Iwan Syarif, Muhammad Udin Harun Al Rasyid, Edi Satriyanto

“…This study aims to develop a smart system in aquaponic cultivation by utilizing Internet of Things technology which is equipped with several types of sensors to monitor and control water quality by applying the Fuzzy Inference System (FIS) algorithm to regulate the speed of pool water circulation in order to save electric power on the pump. …”
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Application of fuzzy logic in decision-making process for relocation of floating net cages in river fish farming by R. Pramana, B.Y. Suprapto, Z. Nawawi

“…The program's input variables comprise water temperature, potential of hydrogen, and dissolved oxygen sensor data. Meanwhile, the program output recommends floating net cage owners to either "Stay in position" or "Move." …”
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In situ real-time measurement for electron spin polarization in atomic spin gyroscopes by Feng Li, Haoying Pang, Zhuo Wang, Wenfeng Fan, Min Zhang, Zehua Liu, Jiahang Li, Bodong Qin, Xinxiu Zhou, Xusheng Lei, Ruigang Wang

“…Summary: Atomic spin gyroscopes (ASGs) based on spin-exchange relaxation-free (SERF) co-magnetometers represent a new generation of ultra-high-precision inertial sensors. However, their long-term stability is significantly constrained by the stability of electron spin polarization. …”
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Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…It examines key water-related challenges - scarcity, pollution, inefficient use and climate change - and shows how various digital technologies such as Remote Sensing, Artificial Intelligence, the Internet of Things, Big Data, Robotics, Smart Sensors and Blockchain can help address them. The review finds that these technologies offer significant potential for improving water management practices, with Remote Sensing and Artificial Intelligence emerging as the most versatile and widely adopted. …”
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The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes by I. Wiekenkamp, A. K. Lehmann, A. Bütow, J. Hartmann, S. Metzger, S. Metzger, T. Ruhtz, C. Wille, M. Zöllner, T. Sachs, T. Sachs

“…The glider is equipped with an 858 AJ Rosemount five-hole probe, a Picarro G2311-f gas analyzer, a Novatel FlexPak G2-V2 GNSS–INS system, Vaisala temperature and humidity sensors (HMT311), and an OMEGA CHAL-003 thermocouple temperature sensor. …”
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Orchard-Wide Visual Perception and Autonomous Operation of Fruit Picking Robots: A Review by CHEN Mingyou, LUO Lufeng, LIU Wei, WEI Huiling, WANG Jinhai, LU Qinghua, LUO Shaoming

“…Each of these approaches incorporates advanced algorithms and sensor technologies for cluttered orchard environments. …”
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Recent progress in triboelectric platforms: engineering materials to industrial applications from the perspective of manufacturing by Yoonsang Ra, Minjun Song, Donghan Lee, Sunmin Jang, Yu-seop Kim, Joonmin Chae, Sumin Cho, Dongik Kam, Donghyun Lee, Gibeom Lee, Younghoon Lee, Dongwhi Choi

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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
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Modified COST-235 Empirical Pathloss Model for Agricultural WSN Using Particle Swarm Optimization by Syahfrizal Tahcfulloh, Etty Wahyuni, Dwi Santoso, Rizkyandi Juliannanda

“… The increasing demand for agricultural products yearly encourages farmers to seek solutions to migrate from conventional farming to smart and precise farming by utilizing technological advances such as implementing wireless sensor networks (WSN). Unlike conventional farming, this technology is believed to provide many advantages, including low cost, high efficiency, optimized land use, and high productivity results. …”
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