Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

“…This is important for fostering optimal biometric seedling growth and ensuring sustainable paddy production. Thus, in present study, a sensor based metering mechanism for soil filling and paddy seeding was developed and evaluated. …”
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Predicting chronic pain using wearable devices: a scoping review of sensor capabilities, data security, and standards compliance by Johannes C. Ayena, Johannes C. Ayena, Amina Bouayed, Amina Bouayed, Myriam Ben Arous, Myriam Ben Arous, Youssef Ouakrim, Youssef Ouakrim, Karim Loulou, Karim Loulou, Darine Ameyed, Isabelle Savard, Leila El Kamel, Neila Mezghani, Neila Mezghani

“…Data extraction focused on device types, sensor quality, compliance with health standards, and the predictive algorithms employed.ResultsWearable devices show promise in correlating physiological markers with CP, but few studies integrate predictive models. …”
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Interpretable Multi-Sensor Fusion of Optical and SAR Data for GEDI-Based Canopy Height Mapping in Southeastern North Carolina by Chao Wang, Conghe Song, Todd A. Schroeder, Curtis E. Woodcock, Tamlin M. Pavelsky, Qianqian Han, Fangfang Yao

“…Accurately monitoring forest canopy height is crucial for sustainable forest management, particularly in southeastern North Carolina, USA, where dense forests and limited accessibility pose substantial challenges. This study presents an explainable machine learning framework that integrates sparse GEDI LiDAR samples with multi-sensor remote sensing data to improve both the accuracy and interpretability of forest canopy height estimation. …”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…However, achieving accurate real-time force detection and spatial localization remains a significant challenge, especially in dynamic, non-rigid environments like prosthetic liners. This study presents a real-time force point detection and tracking system using a custom-fabricated soft elastomeric capacitive sensor array in conjunction with image processing and machine learning techniques. …”
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Evaluation of In-Ear and Fingertip-Based Photoplethysmography Sensors for Measuring Cardiac Vagal Tone Relevant Heart Rate Variability Parameters by Ankit Parikh, Gwyn Lewis, Hamid GholamHosseini, Usman Rashid, David Rice, Faisal Almesfer

“…This paper presents a study undertaken to evaluate the sensor systems that were shortlisted to be used in the development of a portable respiratory-gated transcutaneous auricular vagus nerve stimulation (taVNS) system. …”
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Calibration and Validation of NOAA-21 Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper Sensor Data Record Data by Banghua Yan, Trevor Beck, Junye Chen, Steven Buckner, Xin Jin, Ding Liang, Sirish Uprety, Jingfeng Huang, Lawrence E. Flynn, Likun Wang, Quanhua Liu, Warren D. Porter

“…For example, the 32-day average method and radiative transfer model are employed to estimate inter-sensor radiometric calibration differences from either the SNPP or NOAA-20 data. …”
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Contribution of the Sensor Histidine Kinases PhcS and VsrA to the Quorum Sensing of Ralstonia pseudosolanacearum Strain OE1-1 by Wakana Senuma, Kazusa Hayashi, Masayuki Tsuzuki, Chika Takemura, Yuki Terazawa, Akinori Kiba, Kouhei Ohnishi, Kenji Kai, Yasufumi Hikichi

“…The soilborne Gram-negative phytopathogenic beta-proteobacterium Ralstonia pseudosolanacearum strain OE1-1 produces methyl 3-hydroxymyristate (3-OH MAME) as the quorum sensing (QS) signal by the methyltransferase PhcB and senses the chemical, activating the LysR family transcriptional regulator PhcA, which regulates the QS-dependent genes responsible for QS-dependent phenotypes including virulence. The sensor histidine kinases PhcS and VsrA are reportedly involved in the regulation of QS-dependent genes. …”
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Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder by Carolin S. Klein, Carolin S. Klein, Karsten Hollmann, Karsten Hollmann, Jan Kühnhausen, Jan Kühnhausen, Annika K. Alt, Annika K. Alt, Anja Pascher, Anja Pascher, Lennart Seizer, Lennart Seizer, Jonas Primbs, Winfried Ilg, Annika Thierfelder, Björn Severitt, Helene Passon, Ursula Wörz, Heinrich Lautenbacher, Wolfgang A. Bethge, Johanna Löchner, Johanna Löchner, Martin Holderried, Walter Swoboda, Enkelejda Kasneci, Martin A. Giese, Christian Ernst, Gottfried M. Barth, Gottfried M. Barth, Annette Conzelmann, Annette Conzelmann, Annette Conzelmann, Michael Menth, Caterina Gawrilow, Caterina Gawrilow, Tobias J. Renner, Tobias J. Renner

“…IntroductionThe present study investigates the feasibility and usability of a sensor-based eHealth treatment in psychotherapy for pediatric obsessive-compulsive disorder (OCD), and explores the promises and pitfalls of this novel approach. …”
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CTAB modified SnO₂ PEDOT PSS heterojunction humidity sensor with enhanced sensitivity stability and machine learning evaluation by Poundoss Chellamuthu, Kirubaveni Savarimuthu, M Gulam Nabi Alsath, R. Krishnamoorthy, Yuvaraj T, Feras Alnaimat, Mohammad Shabaz

“…Abstract This study presents the development of a high-performance resistive humidity sensor based on a cetyltrimethylammonium bromide (CTAB)-assisted tin oxide (SnO₂) nanostructured thin film integrated with a Poly(3,4-ethylenedioxythiophene): Poly(styrenesulfonate) (PEDOT: PSS)/SnO₂ heterojunction. …”
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Can Different Cultivars of <i>Panicum maximum</i> Be Identified Using a VIS/NIR Sensor and Machine Learning? by Gelson dos Santos Difante, Gabriela Oliveira de Aquino Monteiro, Juliana Caroline Santos Santana, Néstor Eduardo Villamizar Frontado, Jéssica Gomes Rodrigues, Aryadne Rhoana Dias Chaves, Dthenifer Cordeiro Santana, Izabela Cristina de Oliveira, Luis Carlos Vinhas Ítavo, Fabio Henrique Rojo Baio, Gabriela Souza Oliveira, Carlos Antonio da Silva Junior, Vanessa Zirondi Longhini, Alexandre Menezes Dias, Paulo Eduardo Teodoro, Larissa Pereira Ribeiro Teodoro

“…Two input models were evaluated in the algorithms: the entire spectrum band provided by the sensor (ALL) and another input configuration using the calculated bands. …”
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On the Feasibility of Adapting the LiVec Tactile Sensing Principle to Non-Planar Surfaces: A Thin, Flexible Tactile Sensor by Olivia Leslie, David Córdova Bulens, Stephen J. Redmond

“…This paper, presents a thin, flexible, non-camera-based optical tactile sensor design as an investigation into the feasibility of adapting our novel LiVec sensing principle to curved and flexible surfaces. …”
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Modelado del tiempo fisiológico de Ceratitis capitata mediante sensores remotos en territorios estratégicos de Centroamérica. by Enrique Ibarra Zapata, Carlos Arturo Aguirre Salado, Gustavo Mora Aguilera, Catarina Loredo Osti, Liliana Miranda Aragón, Martín Escoto Rodríguez, Juan Jose Silva Gallegos

“…Diseñar o modelar UCAcum a partir de sensores remotos posibilita fortalecer decisiones estratégicas ante riesgos sanitarios, y tiene como fortaleza que son insumos de libre acceso y de una temporalidad reciente, lo que permite crear escenarios de riesgo bajo un enfoque preventivo en tiempo casi real (con un retraso de unas semanas). …”
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High-Frequency Flow Rate Determination—A Pressure-Based Measurement Approach by Faras Brumand-Poor, Tim Kotte, Marwin Schüpfer, Felix Figge, Katharina Schmitz

“…A conventional method involves calculating the flow rate using the pressure difference along a pipe via the Hagen–Poiseuille law, which is limited to steady, laminar, incompressible flow. This paper presents a novel soft sensor with an analytical model for transient pipe flow based on two pressure signals, thus eliminating the need for an actual volumetric flow sensor. …”
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A novel multi-modal rehabilitation monitoring over human motion intention recognition by Saleha Kamal, Saleha Kamal, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

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Development of an electromechanical device for real-time detection of litter moisture in commercial broiler by Glauber da Rocha Balthazar, Robson Mateus Freitas Silveira, Marcos Vinicius Amato da Cruz, Iran José Oliveira da Silva

“…Effective management requires analyzing litter quality by measuring moisture content. This article presents the development of an electronic sensor for detecting chicken litter moisture using microcontrollers and rapid prototyping sensors. …”
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Experimental and Numerical Study on Stimulated Brillouin Scattering in a Spun Optical Fiber by Ester Catalano, Agnese Coscetta, Raffaele Vallifuoco, Luigi Zeni, Aldo Minardo

“…This paper presents a numerical and experimental investigation of stimulated Brillouin scattering (SBS) in a highly birefringent spun optical fiber. …”
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Smart forest monitoring: A novel Internet of Things framework with shortest path routing for sustainable environmental management by Alireza Etaati, Mostafa Bastam, Ehsan Ataie

“…In recent decades, the emergence of the IoT has been characterised by the utilisation of smart sensors for real‐time data collection. IoT facilitates proactive decision‐making for forest monitoring, control, and protection through advanced data analysis techniques, including AI algorithms. …”
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Concurrent Validity of Wearable Nanocomposite Strain Sensor With Two-Dimensional Goniometer and Its Reliability for Monitoring Knee Active Range of Motion in Multiple Participants by Han-Byeol Choi, Yongjun Kim, Ji Young Lim, Seonghee Kim, Sang Yul Yang, Kihyeon Kim, Hyouk Ryeol Choi, Seunghyun Baik, Ji Hye Hwang

“…The strain sensor presents significant potential for real-time and continuous monitoring of joint angles during real-world activities as well as rehabilitation programs.…”
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The radar image formation algorithms for screws of an aerial vehicle in horizontal and vertical planes in the radar sensor with inverse synthesis of antenna aperture by S. R. Heister, T. T. Nguyen

“…The radar image formation algorithms for rotating parts of an aerial vehicle in the radar sensor with inverse synthesis of antenna aperture using the monochromatic probing signal are considered. …”
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Maximum likelihood self-calibration for direction-dependent gain-phase errors with carry-on instrumental sensors:case of deterministic signal model by WANG Ding1, PAN Miao2, WU Ying1

“…Aim at the self-calibration of direction-dependent gain-phase errors in case of deterministic signal model,the maximum likelihood method（MLM） for calibrating the direction-dependent gain-phase errors with carry-on instrumental sensors was presented.In order to maximize the high-dimensional nonlinear cost function appearing in the MLM,an improved alternative projection iteration algorithm,which could optimize the azimuths and direction-dependent gain-phase errors was proposed.The closed-form expressions of the Cramér-Rao bound（CRB） for azimuths and gain-phase errors were derived.Simulation experiments show the effectiveness and advantage of the novel method.…”
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