A Deep Learning Model for Spectral Reconstruction of Arrayed Micro-Resonators by Xinyi Zhou, Cheng Zhang, Zhenyu Zheng, Hongbin Li, Chao Peng

“…Nevertheless, achieving an optimal balance among spectral resolution, detection range, and device compactness remains challenging, particularly when complex nonlinear mappings, inter-pattern correlations, and noise interference are involved. …”
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Synthesis, DFT calculation, and molecular docking simulation of spirooxindoles based Creatinine chemosensor of Cu2+ by Ghodsi Mohammadi Ziarani, Nikoo Shamkhali, Zahra Panahande, Mehran Feizi-Dehnayebi, Alireza Badiei

“…It is evident that Cu2+ ion is one of the dangerous heavy metals for human health and the environment; therefore, it is very important to identify and detect it easily with an efficient chemosensor. The computational method (DFT) was applied to investigate the ligand's active site for Cu2+ interaction and to examine the electronic properties of the ligand and the ligand-Cu2+ complex. …”
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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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Surface-Modified Carbon Dots for Cancer Therapy: Integrating Diagnostic and Therapeutic Applications by González M, Romero MP

“…Gene therapy applications take advantage of the ability of CDs to condense and protect genetic material from degradation, thereby facilitating efficient cellular uptake. Furthermore, metal-doped CDs can function as fluorophores and enhance imaging capabilities for tumor detection through fluorescence and MRI. …”
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An online multi-camera multi-vehicle tracking using lightweight YOLO11 and improved association strategies by Feijiang Huang, Jialong Yao, Chengyue Su, Sheng Xu

“…To overcome these issues, this paper proposes an efficient online MCMVT method that improves tracking accuracy in complex environments and is suitable for edge devices. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

“…<b>Background:</b> Addressing the complex diagnostic challenges of Alzheimer’s disease (AD), this study introduces FusionNet, a groundbreaking framework designed to enhance AD classification through the integration of multi-modal and longitudinal imaging data. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…However, the automatic characterization and identification of these processes remain challenging due to the complex spatiotemporal data and unpredictable types of topographic processes in natural environments. …”
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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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Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…Innovations include dynamic clutter suppression and multi-path cancellation optimized for complex clinical environments. Experimental validation demonstrates high performance, achieving 98% detection recall and 93.87% classification accuracy under LOSO cross-validation. …”
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RemoteHealthConnect: Innovating patient monitoring with wearable technology and custom visualization by Sasipriya Arun, Edward R. Sykes, Syed Tanbeer

“…Results The usability study revealed the system's capacity to translate complex bedside data into accessible, real-world visualizations, promoting efficient pattern recognition and anomaly detection. …”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Beyond soybean, AI/ML methods have enhanced QTL detection in wheat, lettuce, rice, and cotton, supporting trait dissection across diverse crop species. …”
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Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches by Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán

“…The long-term preservation of heritage structures relies on effective Structural Health Monitoring (SHM) systems, where sensor placement is key to ensuring early damage detection and guiding conservation efforts. Optimal Sensor Placement (OSP) methods offer a systematic framework to identify efficient sensor configurations, yet their application in historical buildings remains limited. …”
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Novel Energy-Aware 3D UAV Path Planning and Collision Avoidance Using Receding Horizon and Optimization-Based Control by Gamil Ahmed, Tarek Sheltami

“…This paper introduces a novel approach for energy-efficient three-dimensional online path planning for UAV formations operating in complex environments. …”
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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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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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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Decoding Depression from Different Brain Regions Using Hybrid Machine Learning Methods by Qi Sang, Chen Chen, Zeguo Shao

“…This study provides a solid foundation for developing more efficient and portable methods for detecting depression, offering new perspectives and approaches for EEG-based MDD detection, and contributing to the improvement in objectivity and precision in depression diagnosis.…”
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Determination of Tungsten, Molybdenum and 5 Associated Elements in Tungsten-Molybdenum Ore by Inductively Coupled Plasma-Optical Emission Spectrometry with Direct Sintering by Zhou SONG, Yiping JI, Weihua WANG, Shaomin FANG, Jie YANG, Huoyan LUO, Yuqi ZHOU

“…However, the matrix effect cause by the alkali melting method seriously affects the accuracy and detection limit of instrument testing; the acid dissolution method has low dissolution efficiency for tungsten, molybdenum and other insoluble elements, and requires a long time and a complex pretreatment process by using a variety of inorganic strong acids such as hydrofluoric acid and aqua regia, which can also cause damage to the analytical and testing instruments.OBJECTIVESTo develop a simple and efficient method for quantitative analysis of tungsten and molybdenum and its associated elements in tungsten-molybdenum ore.METHODSBased on alkaline melting and acid dissolution, a method was established by inductively coupled plasma-optical emission spectrometry (ICP-OES) with direct sintering and complex extraction of hydrochloric acid-phosphoric acid-citric acid. …”
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Innovation of new Florescent-epitope technique for immune assay methods by Zahra Farjami, Mohammad Mehdi Akbarin

“…By leveraging the unique physical properties of the FAM-BHQ1 complex, we achieve enhanced accuracy and efficiency in analyte quantification. …”
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UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

“…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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