Structural and morphological studies of non-covalent functionalization carbon nanotubes wrapped poly(3-hexylthiophene-2,5-diyl) nanocomposites by N. Abdullah, N.M. Nurazzi, I.P. Silverwood, S.K. Matam, S.Z.N. Demon, N.S.N. Sa'aya, N.A. Halim, K.W. Baharin

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The pig pose recognition method based on pig body semantic segmentation by Nuonan Huang, Deli Zhu, Liang He, Yi Li

“…Pose recognition in pigs faces several challenges in practical applications, primarily due to high annotation costs, the labor-intensive nature of annotation processes, and the difficulty of achieving accurate target detection in complex environments. To address these challenges, this paper proposes a novel pig pose recognition method based on the semantic segmentation of pig body parts. …”
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Development and reliability of test to measure perceptual-motor performance in combat sports: the Striking Reaction Time Task (SRTT) by Heloiana Faro, Lucas Arthur Duarte de Lima, Rodrigo Diego Morais da Silva, Arnaldo L. Mortatti, Daniel Gomes da Silva Machado

“…The intraclass correlation coefficient (ICC), coefficient of variation (CV), and minimal detectable change (MDC) of reaction time (RT) were analyzed. …”
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Multi-Modal Joint Pulsed Eddy Current Sensor Signal Denoising Method Integrating Inductive Disturbance Mechanism by Yun Zuo, Gebiao Hu, Fan Gan, Zhiwu Zeng, Zhichi Lin, Xinxun Wang, Ruiqing Xu, Liang Wen, Shubing Hu, Haihong Le, Runze Wu, Jingang Wang

“…This study provides a new technical solution for extracting pure and impurity-free PEC signals in complex electromagnetic environments.…”
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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

“…As the number of dependent parameters increases, assessing the residual life of the structural elements and providing a practically applicable suitable model become very complex. Machine learning (ML)-based prediction models are beneficial in dealing with such complex databases. …”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

“…Beyond communication capabilities, these systems offer inherent advantages for integrated sensing applications, particularly in scenarios requiring precise object detection and localization. The sparse mmWave channel in the beamspace domain allows fewer radio-frequency (RF) chains by selecting dominant beams, boosting both communication efficiency and sensing resolution. …”
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Classification and prediction of rock mass drillability for a tunnel boring machine based on operational data mining by Mingshe Sun, Song Chen, Song Chen, Huafei He, Wenzheng Wang, Kezhi Song, Xuebing Lin

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Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance by Weijie Wang, Tantan Zhang, Zihan Song, Haipeng Liu

“…Trajectory planning for autonomous vehicles is essential for ensuring driving safety, passenger comfort, and operational efficiency. Collision avoidance constraints introduce significant computational complexity due to their inherent non-convex and nonlinear characteristics. …”
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Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems by Xiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu

“…Deep learning models, trained on ECG signals across twelve or more leads, are the predominant approach for automated arrhythmia detection in the AI-assisted medical field. While these multi-lead ECG-based models perform well in automatic arrhythmia detection, their complexity often restricts their use on resource-constrained devices. …”
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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

“…Nonetheless, the inherent complexities of the deep-sea environment, the scarcity of available deep-sea organism samples, and the significant refraction and scattering effects of underwater light collectively impose formidable challenges on the current detection algorithms. …”
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Recent advancements in nanomaterial-based biosensors for diagnosis of breast cancer: a comprehensive review by Yalda Yazdani, Fereshtehsadat Jalali, Habib Tahmasbi, Mitra Akbari, Neda Talebi, Seyed Abbas Shahrtash, Ahmad Mobed, Mahsa Alem, Farhood Ghazi, Mehdi Dadashpour

“…However, these methods are limited by cost, analysis time, and complexity. Therefore, it is necessary to develop an ultrasensitive, fast, low-cost, simple method for BRCA1 detection. …”
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Melanoma Skin Cancer Recognition with a Convolutional Neural Network and Feature Dimensions Reduction with Aquila Optimizer by Jalaleddin Mohamed, Necmi Serkan Tezel, Javad Rahebi, Raheleh Ghadami

“…Additionally, the AO reduced computational complexity by up to 37.5%. <b>Conclusions:</b> The deep learning-Aquila Optimizer (DL-AO) framework offers a highly efficient and accurate approach for melanoma detection, making it suitable for deployment in resource-constrained environments such as mobile and edge computing platforms. …”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…The network models employed in single detection algorithms exhibit complexity and pose challenges for deployment on mobile terminals as they heavily rely on the availability of labeled samples. …”
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Subtle concentration changes in zinc hold the key to fibrillation of α-synuclein: an updated insight on the micronutrient’s role in prevention of neurodegenerative disorders by Samudra Prosad Banik, Debasis Bagchi, Debasis Bagchi, Debasis Bagchi, Pradipta Banerjee, Sanjoy Chakraborty, Manashi Bagchi, Chaitali Bose, Debasmita De, Sreemoyee Saha, Sreemoyee Saha, Sudipta Chakraborty

“…Over the years, a daunting task for researchers has been the identification of the complex set of conditions which govern the Substantia nigra microenvironment for transformation of α-synuclein from a functional and grossly structureless chaperone to toxic cross-β fibrils. …”
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Is Ultrasonography an Effective Method for Diagnosing Degenerative Changes in the Temporomandibular Joint? by Barbara Wojciechowska, Arkadiusz Szarmach, Adam Michcik, Maciej Sikora, Barbara Drogoszewska

“…Background: The accurate diagnosis of degenerative joint diseases (DJDs) of the temporomandibular joint (TMJ) presents a significant clinical challenge due to their progressive nature and the complexity of associated structural changes. These conditions, characterized by cartilage degradation, subchondral bone remodeling, and eventual joint dysfunction, necessitate reliable and efficient imaging techniques for early detection and effective management. …”
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Laser-written reconfigurable photonic integrated circuit directly coupled to a single-photon avalanche diode array by Giulio Gualandi, Simone Atzeni, Marco Gardina, Antonino Caime, Giacomo Corrielli, Ivan Labanca, Angelo Gulinatti, Ivan Rech, Roberto Osellame, Giulia Acconcia, Francesco Ceccarelli

“…This approach presents significant challenges due to the detection complexity, as cryogenic conditions hinder the development of scalable systems. …”
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Research status and progress on key technologies of intelligent orchard by CUI Hongwei, LU Xiaoxuan, YANG Yaqing, LU Xinyi, MA Hao, JI Jiangtao, JIN Xin, LI Xiuzhen, ZHAO Zimeng, ZENG Ningning

“…Additionally, smart harvesting systems use fruit maturity detection to schedule harvests efficiently, improving productivity while reducing fruit damage. …”
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Water transfer printing for integrating substrate-free temperature sensors onto curvilinear surfaces by R. Selmi, J. C. Fustec, F. Le Bihan, M. Harnois

“…This approach enables the fabrication of flexible temperature sensors on complex surfaces, exhibiting electrical performance comparable to conventional sensors, with a temperature coefficient of resistivity (TCR) of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">3.0</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mrow><mo>-</mo><mn mathvariant="normal">3</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="51pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="50091dda1ceb2bc1a163192c01b209d9"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="jsss-14-133-2025-ie00002.svg" width="51pt" height="14pt" src="jsss-14-133-2025-ie00002.png"/></svg:svg></span></span> °C<span class="inline-formula">⁻¹</span>. …”
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Lightweight Sheep Face Recognition Model Combining Grouped Convolution and Parameter Fusion by Gaochao Liu, Lijun Kang, Yongqiang Dai

“…Finally, parameter fusion optimization work was carried out for the detection head, and the construction of the Parameter Fusion Detection (PFDetect) module was achieved, which significantly reduced the number of model parameters and computational complexity. …”
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Comparison between inductively coupled plasma-mass spectrometry and benchtop X-ray fluorescence performance for trace elemental exposure in rat tissues by Kolawole E. Adesina, Stefano A. Parducci, Joseph D. Brain, Ramon M. Molina, Marc Weisskopf, Aaron J. Specht

“…However, ICP-MS is often limited by its complexity, cost, and time-intensive nature. Methods: This study investigates the feasibility of benchtop X-ray fluorescence (XRF) as an efficient alternative for trace elemental analysis in rat tissues, offering comparable quantification capabilities with enhanced operational simplicity. …”
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