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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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

“…Our results demonstrate that the deep learning-based method successfully identifies topographic processes, providing an efficient and scalable alternative to traditional feature engineering-based approaches. …”
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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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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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Development of a Multifunctional Mobile Manipulation Robot Based on Hierarchical Motion Planning Strategy and Hybrid Grasping by Yuning Cao, Xianli Wang, Zehao Wu, Qingsong Xu

“…To realize navigation and collision avoidance in complex environments, a new hierarchical motion planning strategy is proposed by fusing global and local planners. …”
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A Comprehensive Review of Smartphone and Other Device-Based Techniques for Road Surface Monitoring by Saif Alqaydi, Waleed Zeiada, Ahmed El Wakil, Ali Juma Alnaqbi, Abdelhalim Azam

“…Machine learning algorithms, particularly CNNs, are utilized to classify road anomalies, enhancing detection accuracy and system efficiency. The results demonstrate that smartphone-based systems, paired with advanced data processing and machine learning, significantly reduce the cost and complexity of traditional road surveys. …”
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Diagnosis of steam turbine rotor based on improved convolutional neural network algorithm by Zhongtao Zhou, Miao Zhou, Hui Huang, Yanghai Li, Wanbing Xu

“…The network detection results show that the accuracy rate can reach 97.5%, which is expected to be widely used in actual production and improve the efficiency and accuracy of fault diagnosis of rotor system.…”
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Research Progress on Composite Structure of Warships in Impact Protection by Tao ZHANG, Qingzhen SUN, Lei ZHANG, Xiangmei LI

“…As modern naval battles become increasingly complex, the structural protection of warships has become the key to enhancing survivability and combat effectiveness. …”
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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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Fungi in Horticultural Crops: Promotion, Pathogenicity and Monitoring by Quanzhi Wang, Yibing Han, Zhaoyi Yu, Siyuan Tian, Pengpeng Sun, Yixiao Shi, Chao Peng, Tingting Gu, Zhen Li

“…This review provides a comprehensive understanding of the complex roles of fungi in horticulture and explores innovative detection and management strategies.…”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…<b>Background:</b> Accurate estrus identification in dairy cows is essential for enhancing reproductive efficiency and economic performance. The dispersed nature of estrus data and individual cow differences pose significant challenges for accurate identification. …”
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Development of High-performance Proton Transfer Reaction Time-of-Flight Mass Spectrometer by Chun-guang XIE, Ji-yang ZHANG, Tong YANG, Yu-liang HUANG, Shu-guang XIE, Hui ZHU, Jing-xuan SUN, Ping CHENG

“…The system is mainly composed of hollow cathode discharge ion source, proton transfer reaction tube, high efficiency ion transport region and high-performance time-of-flight mass analyzer. …”
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Histological assessment of inflammatory infiltrates in interstitial cystitis/bladder pain syndrome (IC/BPS): a comparative study of mast cell quantification techniques by Tunch Akmandor, Alex Freeman

“…Therefore, this retrospective study aimed to assess inflammatory cell infiltrate to better understand the role of inflammation to provide diagnostic value in histopathology reports for improved patient treatment and to compare histochemical and immunohistochemical stains for efficiency and sensitivity in detection and quantification of mast cells in detrusor muscle. …”
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Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks by Carlos A. Guzmán-Medina, Mario E. Rivero-Angeles, Izlian Y. Orea-Flores

“…WSNs are complex systems that are mainly limited by the battery life of the nodes in order to have an adequate performance. …”
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Mechanism of modified mRNA structure in COVID-19 vaccines for inducing neutralizing antibodies by Sabighoh Zanjabila, Beti Ernawati Dewi

“…Structural modifications, such as replacing uridine with 1-methylpseudouridine (1mψ), enhance translation efficiency and help the mRNA evade immune detection. …”
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Development of Green Method for Trace Determination of Bendiocarb in Real Samples Using Emerson by Baghdad Science Journal

“…The enrichment factor was of 59.87 fold leading to achieve the limit of detection of 0.076 ?g mL-1. The proposed method gives superior sensitivity in terms of the molar absorptivity of 1.99x105 L mol-1 cm-1 and extraction efficiency of 98.0%. …”
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Urban Air Mobility Communications and Networking: Recent Advances, Techniques, and Challenges by Muhammad Yeasir Arafat, Sungbum Pan

“…Owing to the unique characteristics of personal air vehicles, ensuring reliable communication and maintaining proper safety and security, air traffic management, collision detection, path planning, and highly accurate localization and navigation have become increasingly complex. …”
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The Application of Earth Observation Data to Desert Locust Risk Management: A Literature Review by Gachie Eliud Baraka, Giudo D’Urso, Oscar Rosario Belfiore

“…Moreover, the review recognises great potential in applications of EO tools, products and services for anticipatory action against desert locusts to ensure resource use efficiency and environmental conservation.…”
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