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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Stress triggering mechanism of strong mine earthquake in huge thick strata revealed by inversion of joint source rupture information by Yao YANG, Anye CAO, Yaoqi LIU, Xianxi BAI, Changbin WANG, Chengchun XUE, Qiang WANG

“…Under the condition of unconformable deposition of the Cretaceous Zhidan Group huge thick strata in the Inner Mongolia-Shanxi mining area, frequent occurrence of strong mine earthquake (SME) during deep mining, resulting in tremors at the surface，has severely constrained efficient production at the area. In order to solve the problem of inaccurate source information and unclear stress triggering mechanism, which makes it difficult to prevent and control SME, the working face of a mine in the area where SME occurred frequently is used as a background for the study, based on preliminary detection of stratigraphic rock movement characteristics, the principal component analysis (PCA) was applied to extract the effective components of waveforms, the hybrid moment tensor inversion (HMTI) are used to solve focal mechanism of SME, stress inversion model modified, and stress inversion algorithm optimised, based on the algorithm, solved the distribution characteristics of the stress field before and after the occurrence of SME, introduced instability coefficients to evaluate the stability of the overburden, and analysed the stress triggering mechanism of SME. …”
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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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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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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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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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SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots by Haoyu Zhang, Baotong Wang, Wenhao Fu, Leyi Shi

“…(iii) For the evaluation of components, we conducted three ablation studies to demonstrate that the proposed modules in SCH-Hunter significantly improve the framework’s detection capability, code coverage, and detection efficiency, respectively.…”
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A Reef’s High-Frequency Soundscape and the Effect on Telemetry Efforts: A Biotic and Abiotic Balance by Frank McQuarrie, C. Brock Woodson, Catherine R. Edwards

“…Acoustic telemetry is a tool for tracking animals, but transmitted signals from tagged animals are not always detected. Detection efficiency declines with increasing background noise, which can have both abiotic and biotic sources. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…Abstract Malware has become a big issue for digital infrastructure with the growing complexity and frequency of intrusions; it usually avoids conventional detection systems via obfuscation and dynamic behaviour patterns. …”
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A method for determining fracturing radius of blasting holes based on SF6 gas tracing by Dongxu JIA

“…The fracturing radius, as a key indicator characterizing the energy transfer of mine blasting and the fragmentation effect of rock mass, its precise determination is directly related to the safety and energy efficiency of blasting engineering. However, due to the heterogeneity of complex geological structures, the irreversibility of the dynamic crack evolution mechanism and the limitations of in-situ monitoring technology, there are still significant technical bottlenecks in the in-situ detection of the fracturing radius at present. …”
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Rectified Adam Optimizer and LSTM with Attention Mechanism for ECG-Based Multi-class Classification of Cardiac Arrhythmia by T. Sivaranjani, B. Sasikumar, G. Sugitha

“…The model integrates long-term memory with an attention mechanism to enhance the classification performance of arrhythmia detection. Simulation results demonstrate that the proposed model achieves 99.40% accuracy, outperforming existing models and showing its efficiency in classifying CA for better diagnosis and early treatments.…”
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