DepthLux: Employing Depthwise Separable Convolutions for Low-Light Image Enhancement by Raul Balmez, Alexandru Brateanu, Ciprian Orhei, Codruta O. Ancuti, Cosmin Ancuti

“…Low-light image enhancement is an important task in computer vision, often made challenging by the limitations of image sensors, such as noise, low contrast, and color distortion. …”
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Turbidity Method for Detecting Mud Content in Base Sand by MA Xu-liang, LIU Ze-yu, LI Da-yong

“…Based on the basic principles of the national standard detection method，uses a turbidity sensor to measure the mud content of the base sand after vortex washing，and develops a rapid detection method and device with short measurement period and high degree of automation. …”
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Potential of Tool Clamping Surfaces in Forming Machines for Cognitive Production by Mohaned Alaluss, Robin Kurth, Robert Tehel, Martin Wagner, Nico Wagner, Steffen Ihlenfeldt

“…Based on the results, available sensor systems are assessed regarding the capability to monitor the identified phenomena inline.…”
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Enhancing the Efficiency of Routing Strategies in WSNs Using Live Streaming Algorithms by Hayder Jasim Alhamdane, Mohsen Nickray

“… The application of machine learning in wireless sensor networks (WSN) has attracted much attention. …”
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Direct measurement of absolute radiation pressure of leds in nanopascal range under ambient conditions with microcantilever by Yuki Takei, Hiromitsu Furukawa

“…However, accurately measuring the absolute value of radiation pressure presents a significant challenge owing to its inherently small magnitude. …”
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Design of a Deep Learning-Based Metalens Color Router for RGB-NIR Sensing by Hua Mu, Yu Zhang, Zhenyu Liang, Haoqi Gao, Haoli Xu, Bingwen Wang, Yangyang Wang, Xing Yang

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Estimation of relative humidity in Hormozgan province using MODIS products by Masihollah Mohammadi, behrooz sobhani

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Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention by Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Codruta Ancuti

“…Low-light image enhancement (LLIE) techniques improve the performance of image sensors by enhancing visibility and details in poorly lit environments and have significantly benefited from recent research into Transformer models. …”
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Next Generation Human Action Recognition: A Comprehensive Review of State-of-the-Art Signal Processing Techniques by Misha Karim, Shah Khalid, Sungyoung Lee, Sulaiman Almutairi, Abdallah Namoun, Mohammed Abohashrh

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Investigation on electrochemical properties of chromium oxide nanoparticles for non-enzymatic glucose sensing application by Rashmita Panda, Shakti Prasad Mishra, Bhagaban Kisan, Kusha K. Naik

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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

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Novel low-temperature colorimetric indicator based on functional PDA/PVA by Sachin Goyal, Deepika Sharma, Amit L Sharma, Kamlesh Kumar

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Classification of Flying Drones Using Millimeter-Wave Radar: Comparative Analysis of Algorithms Under Noisy Conditions by Mauro Larrat, Claudomiro Sales

“…This study evaluates different machine learning algorithms in detecting and identifying drones using radar data from a 60 GHz millimeter-wave sensor. These signals were collected from a bionic bird and two drones, namely DJI Mavic and DJI Phantom 3 Pro, which were represented in complex form to preserve amplitude and phase information. …”
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Adaptive FPGA-Based Accelerators for Human–Robot Interaction in Indoor Environments by Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, Siew-Kei Lam, G. Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey

“…The proposed approach works on two levels: the estimation of human location and the robot’s intention to serve based on the human’s location at static and adaptive positions. This paper presents three methodologies to address these challenges: binary classification to analyze static and adaptive postures for human localization in indoor environments using the sensor fusion method, adaptive Simultaneous Localization and Mapping (SLAM) for the robot to deliver the task, and human–robot implicit communication. …”
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The Screening of Aptamers and the Development of a Colorimetric Detection Method for the Pesticide Deltamethrin by Caixia Wu, Wenwei Li, Jiafu Wang, Sheng Li

“…Practical validation using spiked fruit samples (apples and pears) yielded satisfactory recoveries of 74–118%, demonstrating the sensor’s reliability in real-sample analysis. The developed methodology presents a promising approach for the on-site monitoring of pyrethroid contaminants in agricultural products.…”
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A Facile Electrode Modification Approach Based on Metal-Free Carbonaceous Carbon Black/Carbon Nanofibers for Electrochemical Sensing of Bisphenol A in Food by Jin Wang, Zhen Yang, Shuanghuan Gu, Mingfei Pan, Longhua Xu

“…A novel electrochemical sensor based on carbon black and carbon nanofibers composite (CB/f-CNF)-assisted signal amplification has been successfully constructed for the amperometric detection of BPA in foods. …”
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Facile synthesis and characterization of nanorods Pb-MOF for toxic rodenticide detection by Ayman S. Eliwa, Magdi E.A. Zaki, Mostafa A. Besher, Gehad G. Mohamed

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Trust-driven approach to enhance early forest fire detection using machine learning by Tayyab Khan, Karan Singh, Bhoopesh Singh Bhati, Khaleel Ahmad, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The detrimental impacts of forest fires, such as the exacerbation of the greenhouse effect, the hastening of global warming, and the modification of climatic patterns, underscore the urgent necessity for the creation of efficient detection systems. This study presents a real-time Universal Trust Model (UTM) that is specifically designed for the early forest fires detection (FFD) using an intelligent wireless sensor network and machine learning approaches. …”
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Estimation of STEADI performance using inertial measurement unit by Jasmine Y. Liang, Mingyue Zhang, Nicholas R. Lamoureux, Jeni Lansing, Li-Shan Chou, Gregory J. Welk

“…Introduction: Falls present a significant public health concern in the United States as a primary cause of unintentional injury-related deaths among older adults. …”
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Morphine electrochemical determination using SnO2 nanostructure-modified glassy carbon electrode in the presence of diclofenac by Isam Ngaimesh Taeb, Zainab S. Hadawi, Rasha N. Alibabery

“… In the present work, SnO2 nanostructures were synthesized and a sensitive voltammetric sensor on a glassy carbon electrode (GCE) was constructed to estimate morphine (MP) in the presence of diclofenac (DLF). …”
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