Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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Solar Photovoltaic Diagnostic System with Logic Verification and Integrated Circuit Design for Fabrication by Abhitej Divi, Shuza Binzaid

“…Solar photovoltaic (PV) panels are the best solution to reduce greenhouse gas emissions by fossil fuel combustion, with global capability now exceeding 714 GW due to rapid technological advances in solar panels (SPs). However, SPs’ efficiency and lifespan remain limited due to the absence of advanced fault-detection systems, and they are prone to short circuits (SC), open circuits (OC), and power degradation. …”
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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

“…Radio Frequency Fingerprinting (RFF) has gained significant attention in wireless communication and security research due to its potential for device authentication and intrusion detection. While deep learning-based approaches have shown promising results, existing methods suffer from critical limitations: high computational complexity hinders real-time deployment on resource-constrained hardware, poor robustness under low Signal-to-Noise Ratio (SNR) conditions, and inadequate generalization across different datasets. …”
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A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…To address limitations in existing approaches, we introduce a novel U-shaped segmentation architecture based on our Residual Space State Block. This efficient model, termed ‘SSR-UNet,’ leverages bidirectional scanning to capture both global and local features in image data, achieving strong performance with low computational complexity. …”
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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…The results demonstrate that optimized feature sets, paired with SVM classifiers, achieve classification performance comparable to those of CNNs while significantly reducing computational complexity. This finding underscores the potential of feature reduction techniques in creating efficient diagnostic frameworks. …”
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Comparative Analysis of Classifiers for the Assessment of Respiratory Disorders Using Speech Parameters by Poonam Shrivastava, Neeta Tripathi, Bikesh Kumar Singh, Bhupesh Kumar Dewangan

“…The conclusion was that the proposed classifiers may provide an aid in the simple assessment of respiratory disorders utilising speech parameters with high efficiency. In the future, the proposed approach can be evaluated for the detection of specific respiratory disorders such as asthma, COPD, etc.…”
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MVTC-Sec: Lightweight Timestamp Correlation for Securing RPL Against DIO Replay Attacks by Tahar Guerbouz, Akram Zine Eddine Boukhamla, Djalila Belkebir, Sahraoui Dhelim

“…Compared to the existing solutions, MVTC-Sec offers higher detection accuracy, lower complexity, and improved adaptability, making it an efficient and scalable protection method for RPL-based IoT networks.…”
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A Novel Intensity-Corrected Blue Channel Compensation and Edge-Preserving Contrast Enhancement Using Laplace Filter and Sigmoid Function for Sand-Dust Image Enhancement by Muhammad Khawaja Kashif Masood, Enrique Nava Baro, Pablo Otero Roth

“…The evaluation results confirm that the proposed method outperforms all previous and advanced deep learning methods in terms of visual quality, metrics, time complexity, and energy efficiency, making it a promising solution for sand-dust image enhancement in real-world applications.…”
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Genetic landscape and evolution of Acinetobacter pittii, an underestimated emerging nosocomial pathogen by Shengke Wang, Yan Zhou, Yuezhuo Wang, Keshu Tang, Danqi Wang, Jiawen Hong, Pengcheng Wang, Sheng Ye, Jie Yan, Shengkai Li, Zhemin Zhou, Jimei Du

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Location Research and Picking Experiment of an Apple-Picking Robot Based on Improved Mask R-CNN and Binocular Vision by Tianzhong Fang, Wei Chen, Lu Han

“…As their “perceptual core,” machine vision systems directly determine picking success rates and operational efficiency. However, existing vision systems still exhibit significant shortcomings in target detection and positioning accuracy in complex orchard environments (e.g., uneven illumination, foliage occlusion, and fruit overlap), which hinders practical applications. …”
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Biodegradation of polycyclic aromatic hydrocarbons: The role of ligninolytic enzymes and advances of biosensors for in-situ monitoring by Eshet Lakew Tesfaye, Fekadu Mazengiaw Bogale, Tadele Assefa Aragaw

“…This review also highlights recent biosensor developments that provide enhanced sensitivity and specificity for PAH detection. Although some LE-producing strains are efficient in completely biodegrading certain PAH types, further research is needed to explore the complete biodegradation of PAHs with higher molecular structures using genetically modified strains or their LEs. …”
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PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

“…Currently, autonomous flight control for unmanned aerial vehicles (UAVs) has become increasingly critical in remote-sensing applications, such as high-resolution data acquisition and road disease detection. However, this task also faces significant challenges, particularly the weak GNSS signals in flight areas and the complex flight environment. …”
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Wavelet Transform Aided Single-Carrier FDMA With Index Modulation by Zhou Lu, Mohammed El-Hajjar, Lie-Liang Yang

“…Simultaneously, index modulation (IM) has been widely studied owing to its flexibility for spectral-efficiency versus energy-efficiency trade-off. However, applying conventional IM schemes with SC-FDMA may affect the desirable characteristics of SC-FDMA signals, resulting in the increase of PAPR, for example. …”
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Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…This enhanced performance was achieved with minimal human intervention and without complex signal processing. The Implementation of this approach within complex rotor systems offers a significant improvement in both the efficiency and reliability of blade FD.…”
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Research on Apple Recognition and Localization Method Based on Deep Learning by Zhipeng Zhao, Chengkai Yin, Ziliang Guo, Jian Zhang, Qing Chen, Ziyuan Gu

“…Currently, during apple picking in complex environments, it is difficult to classify and identify the growth pattern of an apple and obtain information on its attitude synchronously. …”
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Solid-Phase Extraction and Large-Volume Sample Stacking-Capillary Electrophoresis for Determination of Tetracycline Residues in Milk by Gabriela Islas, Jose A. Rodriguez, Irma Perez-Silva, Jose M. Miranda, Israel S. Ibarra

“…SPE-LVSS-CE is a robust, easy, and efficient strategy for online preconcentration of tetracycline residues in complex matrices.…”
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CMOS-integrated organic neuromorphic imagers for high-resolution dual-modal imaging by Salihuojia Talanti, Kerui Fu, Xiaolong Zheng, Youzhi Shi, Yimei Tan, Chenxi Liu, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang

“…Abstract Simultaneously capturing static images and processing dynamic visual information within a single sensor enables a more comprehensive and efficient acquisition of scene information, thereby enhancing the understanding and processing of complex scenes. …”
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Advancing Urban Development: Applications of Hyperspectral Imaging in Smart City Innovations and Sustainable Solutions by Arvind Mukundan, Riya Karmakar, Jumana Jouhar, Muhamed Adil Edavana Valappil, Hsiang-Chen Wang

“…Smart cities are urban areas that use advanced technologies to make urban living better through efficient resource management, sustainable development, and improved quality of life. …”
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Orthophoto generation with gaussian splatting: mitigating reflective surface artifacts in imagery from low-cost sensors by M. Previtali, L. Barazzetti, F. Roncoroni

“…Additionally, this approach proves to be computationally efficient, making it ideal for low-cost sensor applications. …”
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Novel ecofriendly spectrophotometric methods for the determination of six dihydropyridines calcium channel blockers through derivatization with sulfophtalein dye: application to ta... by Mariana Horyn, Liubomyr Kryskiw, Tetyana Kucher, Nadiya Zarivna, Olha Poliak, Liliya Logoyda

“…The optimal parameters for CCBs spectrophotometric analysis via complex formation using BPB were as follows: detection wavelength—596 nm, reaction time—5 min, ratio of reacting components—1:1, operating temperature—25 ± 2 °C. …”
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