A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

“…Subsequently, we proposed a Multi-Objective Evolutionary Algorithm with Neighborhood Detection (MOEAND), which utilizes this customized neighborhood to efficiently solve VRPSTWs. …”
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Heavy Equipment Detection on Construction Sites Using You Only Look Once (YOLO-Version 10) with Transformer Architectures by Ikchul Eum, Jaejun Kim, Seunghyeon Wang, Juhyung Kim

“…These findings underscore the method’s potential to strengthen on-site safety by providing more reliable and efficient heavy equipment detection in complex work environments, while also acknowledging areas for further refinement.…”
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AI Efficiency in Dentistry: Comparing Artificial Intelligence Systems with Human Practitioners in Assessing Several Periodontal Parameters by Oana-Maria Butnaru, Monica Tatarciuc, Ionut Luchian, Teona Tudorici, Carina Balcos, Dana Gabriela Budala, Ana Sirghe, Dragos Ioan Virvescu, Danisia Haba

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Strain promoted azide alkyne cycloaddition, an efficient surface functionalization strategy for microRNA magnetic separation by Djamila Kechkeche, Sirine El Mousli, Claire Poujouly, Emilie Secret, Vincent Dupuis, Isabelle Le Potier, Marie-Emmanuelle Goriot, Julien Siracusa, Sébastien Banzet, Jean Gamby, Jean-Michel Siaugue

“…In an emergency context, the detection of microRNA (miRNA), which are potential biomarkers of cardiovascular and muscular pathologies is hampered by the time required for the various steps involved: treatment of the patient sample, reverse transcription (RT), and finally polymerase chain reaction (PCR). …”
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A Comprehensive Review of Advanced Sensor Technologies for Fire Detection with a Focus on Gasistor-Based Sensors by Mohsin Ali, Ibtisam Ahmad, Ik Geun, Syed Ameer Hamza, Umar Ijaz, Yuseong Jang, Jahoon Koo, Young-Gab Kim, Hee-Dong Kim

“…Traditional fire detection systems struggle with detection in dynamic or complex situations due to slow response and false alarms. …”
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Leveraging the Global Innovation Index to Boost Manufacturing Efficiency in Algeria: An ARDL Model Study (2011-2022) by Souleyman Beghni, Meriyam Gourari

“…The model's strong fit, reflected by an R-squared value of 0.693658, underscores its explanatory power. …”
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The salt fringe as an energy periphery: Energy efficiency in the private rental sector of seaside towns in England and Wales by Ed Atkins, Caitlin Robinson, Tom Cantellow

“…These findings advance scholarship on low‐carbon transitions by illuminating important links between energy peripheries and energy efficiency; highlighting seaside towns as important peripheries; and detailing the complex factors defining such peripherality both today and in future energy transitions.…”
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Design and validation of a CFD model for energy-efficient Ni-Co-Mn cathode calcination process by Jaeseop Jo, Minyoung Hwang, Jungeui Lee, Joo Hyun Park

“…The model incorporates three essential sub-models to reflect complex physical and chemical phenomena during calcination: a heater control algorithm replicating nonlinear thermal response of industrial heaters with less than five percent deviation from experimental measurements, a data transfer method effectively simulating continuous material movement without computational mesh deformation to maintain numerical stability, and a dehydration reaction kinetics model addressing significant endothermic behavior arising from lithium hydroxide precursors during thermal treatment. …”
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Efficient Rescue of Retinal Degeneration in Pde6a Mice by Engineered Base Editing and Prime Editing by Zhiquan Liu, Siyu Chen, Alexander E. Davis, Chien‐Hui Lo, Qing Wang, Tingting Li, Ke Ning, Qi Zhang, Jingyu Zhao, Sui Wang, Yang Sun

“…Notably, the optimal PE system, delivered via dual adeno‐associated virus (AAV), precisely corrects the pathogenic mutation with average 9.4% efficiency, with no detectable bystander editing. This correction restores PDE6A protein expression, preserved photoreceptors, and rescued retinal function in Pde6a mice. …”
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An Efficient Path Planning Algorithm Based on Delaunay Triangular NavMesh for Off-Road Vehicle Navigation by Ting Tian, Huijing Wu, Haitao Wei, Fang Wu, Jiandong Shang

“…Although the algorithms are currently constrained by the limited data accessibility reflecting real-time transportation status, these findings highlight the generalizability and efficiency of the proposed off-road path-planning algorithm, which is useful for path-planning solutions for emergency operations, wilderness adventures, and mineral exploration.…”
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A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles by Duc Tai Nguyen, Phuoc Bao Long Do, Doan Dang Khoa Nguyen, Wei-Chih Lin

“…Notably, the proposed model outperforms the previous detection models, offering high accuracy while optimizing computational efficiency. …”
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Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

“…YOLOv4-tiny is faster and more efficient than its predecessors, offering real-time detection with reduced computational complexity. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

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Automated graph-based detection of quantum control schemes: Application to molecular laser cooling by Anna Dawid, Niccoló Bigagli, Daniel W. Savin, Sebastian Will

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YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests by Yongkang Liu, Qinghao Wang, Qi Zheng, Yong Liu

“…Wheat pests exhibit considerable diversity and are often found in complex environmental contexts. Intraspecies variation among wheat pests can be substantial, while differences between species may be minimal, making accurate pest detection a difficult task. …”
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Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11 by Lei Zhang, Zhipeng Sun, Hongjing Tao, Meng Wang, Weixun Yi

“…In the complex environment of fully mechanized mining faces, the current object detection algorithms face significant challenges in achieving optimal accuracy and real-time detection of mine personnel and safety helmets. …”
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S₂Head: Small-Scale Human Head Detection Algorithm by Improved YOLOv8n Architecture by Yuteng Sui, Xinghua Shan, Linlin Dai, Hui Jing, Bo Li, Jianjun Ma

“…Existing head detection algorithms face challenges in accurately detecting small and densely packed head targets, resulting in lower detection accuracy in complex scenarios. …”
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Deciphering the complex molecular architecture of the genetically modified soybean FG72 through paired-end whole genome sequencing by Fan Wang, Shengtao Lu, Wenting Xu, Litao Yang

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Point-Level Fusion and Channel Attention for 3D Object Detection in Autonomous Driving by Juntao Shen, Zheng Fang, Jin Huang

“…PointPillars transforms point cloud data into a two-dimensional pseudo-image and employs a 2D CNN for efficient and precise detection. Nevertheless, this approach encounters two primary challenges: (1) the sparsity and disorganization of raw point clouds hinder the model’s capacity to capture local features, thus impacting detection accuracy; and (2) existing models struggle to detect small objects within complex environments, particularly regarding orientation estimation. …”
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Fine-grained detection and segmentation of civilian aircraft in satellite imagery using YOLOv8 by Ramesh Kumar Panneerselvam, Sarada Bandi, Sree Datta Siva Charan Doddapaneni

“…This paper presents that by developing an efficient YOLOv8-based model for aircraft detection, classification, and segmentation within the FAIR1M-2.0 dataset. …”
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