TLDDM: An Enhanced Tea Leaf Pest and Disease Detection Model Based on YOLOv8 by Jun Song, Youcheng Zhang, Shuo Lin, Huijie Han, Xinjian Yu

“…However, the high similarity between different tea leaf diseases and the difficulty of balancing model accuracy and complexity pose significant challenges during the detection process. …”
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Optimized Subset Selection for Matrices and its Application in Hyperspectral Band Selection by Songyi Xiao, Liangliang Zhu, Xinwen Zhu, Xiurui Geng

“…When spectral bands are considered as scatter points in the image space, hyperspectral band selection can be transformed into the column subset selection problem for matrices. …”
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YS3AM: Adaptive 3D Reconstruction and Harvesting Target Detection for Clustered Green Asparagus by Si Mu, Jian Liu, Ping Zhang, Jin Yuan, Xuemei Liu

“…Extracting precise stem details in complex spatial arrangements is a challenge. This paper explored the YS3AM (Yolo-SAM-3D-Adaptive-Modeling) method for detecting green asparagus and performing 3D adaptive-section modeling using a depth camera, which could benefit harvesting path planning for selective harvesting robots. …”
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The antecedents and contingency factors for seaport users’ time efficiency: resource-based view perspective by Renger Kanani

“…Seaport efficiency is an important driver for seaport selection. …”
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Clinical Evaluation of a Rapid Reciprocal-Flow PCR Assay and Real-Time PCR Assay with Quenching Probe for Detection of <i>Mycobacterium tuberculosis</i> Complex by Kosuke Kosai, Keisuke Matsumoto, Takahisa Ishikawa, Yasuhide Kawamoto, Norihiko Akamatsu, Kenji Ota, Fujiko Mitsumoto-Kaseida, Norihito Kaku, Hiroo Hasegawa, Koichi Izumikawa, Hiroshi Mukae, Katsunori Yanagihara

“…This study investigated the diagnostic efficiencies of two assays for the detection of <i>Mycobacterium tuberculosis</i> complex: (1) the reciprocal-flow real-time polymerase chain reaction (PCR)-based GeneSoC assay and (2) the real-time PCR based GENECUBE MTB assay with quenching probe. …”
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An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

“…In the era of industry 4.0, artificial intelligence (AI) offers new perspectives for researching the complex sustainable chemical reactions in selective catalytic reduction (SCR). …”
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Intelligent Modelling Techniques for Enhanced Thermal Comfort and Energy Optimisation in Residential Buildings by Shamaila Iram, Hafiz Muhammad Athar Farid, Abduljelil Adeola Akande, Hafiz Muhammad Shakeel

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A novel Pd complex coated on TiFe2O4 magnetic nanoparticles as an efficient and recoverable catalyst for the synthesis of 5-substituted 1H-tetrazoles by Abdulrahman A. Almehizia, Munthar Kadhim Abosaoda, Anjan Kumar, Vicky Jain, Suhas Ballal, Abhayveer Singh, Karthikeyan Jayabalan, Subhashree Ray, Pranchal Rajput, Ojas Prakashbhai Doshi

“…A novel palladium (Pd) complex was then immobilized on the functionalized TiFe2O4 MNPs, resulting in a magnetically recoverable, highly efficient, and selective nanocatalyst. …”
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Structural and Economic Approach to the Selection of Peak Regulating Capacities at Thermal Power Plants by E. V. Bohdan, M. B. Karnitski

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Simulation of Patch Field Effect in Space-Borne Gravitational Wave Detection Missions by Mingchao She, Xiaodong Peng, Li-E Qiang

“…This paper presents a novel boundary element partitioning and octree-based simulation algorithm to address these limitations, enabling efficient simulation of both electrostatic and geometric impacts of patch fields with low spatiotemporal complexity (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>O</mi><mo>(</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>). …”
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Integrating AI Deep Reinforcement Learning With Evolutionary Algorithms for Advanced Threat Detection in Smart City Energy Management by Fenghua Liu, Xiaoming Li

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Energy-Efficient Management of Urban Water Distribution Networks Under Hydraulic Anomalies: A Review of Technologies and Challenges by Bowen Duan, Jinliang Gao, Huizhe Cao, Shiyuan Hu

“…Despite recent advances, challenges persist in data interoperability, real-time optimization complexity, scalability, and forecasting uncertainty. …”
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Increasing the efficiency of osseointegration in dental implantation in patients with diabetic osteopathy by remodeling bone tissue and intensifying its density. by O.O. Gudarian, D.O. Cherednyk

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Bi-directional virtual search algorithm for efficient and collision-free path planning in autonomous robots navigating static and dynamic environments by M.D. Yeshwanth Kumar, K. Rajchandar

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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…While EVs offer advantages such as energy efficiency, reduced carbon emissions, and lower operating costs, selecting the right electric vehicle for a logistics company is not a straightforward task. …”
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Fast recursive algorithm for implementation of MIMO ZF-SIC detection by Zuo-liang YIN, Xing-peng MAO, Qin-yu ZHANG, Nai-tong ZHANG

“…To reduce the complexity of the zero-forcing(ZF)detection with successive interference cancellation(SIC)in a Vertical Bell Labs layered space-time(V-BLAST)systems,a computationally efficient recursive algorithm was proposed.A fast implementation of the proposed algorithm was developed and its complexity was analyzed in detail.Theoretical analysis and simulations demonstrate significant advantages of the proposed algorithm over the fast recursive algorithm (FRA)on complexity,practicability and storage requirements.Moreover,its performance on symbol error rate(SER)is close to optimal under practical conditions.These advantages make the proposed algorithm more efficient and practical.…”
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Enhancing the Precision and Efficiency of Pulmonary Tumor Detection With Robotic‐Assisted 18F‐FDG PET/CT‐Guided Lung Biopsy: A Case Report by Jian Liu, Chuan Xu, Haiyan Li, Bing Niu, Kai Xu, Xia Lu

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Time Series Foundation Model for Improved Transformer Load Forecasting and Overload Detection by Yikai Hou, Chao Ma, Xiang Li, Yinggang Sun, Haining Yu, Zhou Fang

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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Five images featuring dense targets, minimal targets, dark scenes, occluded targets, and complex backgrounds are randomly selected from the Visdrone2021 test challenge set to evaluate detection performance in UAV aerial images. …”
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FEVT-SAR: Multicategory Oriented SAR Ship Detection Based on Feature Enhancement Vision Transformer by Minding Fang, Yu Gu, Dongliang Peng

“…Issues such as complex noise interference and the long-tail distribution of data present many challenges to the multicategory ship detection task in synthetic aperture radar (SAR) images. …”
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