A Low Complexity Algorithm for 3D-HEVC Depth Map Intra Coding Based on MAD and ResNet by Erlin Tian, Jiabao Zhang, Qiuwen Zhang

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Application of Six Sigma Methodology for Enhancement of Soft Plastic Extrusion Process by Muhammad Mansoor Uz Zaman Siddiqui, Adeel Tabassum

“…The study involved process mapping, cause and effect analysis, quality function deployment (QFD) and statistical process tools such as ANOVA, regression and Cp/Cpk analysis. …”
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A Low-Cost Modulated Laser-Based Imaging System Using Square Ring Laser Illumination for Depressing Underwater Backscatter by Yansheng Hao, Yaoyao Yuan, Hongman Zhang, Shao Zhang, Ze Zhang

“…In this manuscript, a low-cost modulated laser-based imaging system is proposed with a spot in the shape of a square ring to eliminate the overlap between the illumination light path and the imaging path, which could reduce the negative effect of backscatter on the imaging process and enhance imaging quality. …”
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A Robust Seamline Extraction Method for Large-Scale Orthoimages Using an Adaptive Cost A* Algorithm by Zhonghua Hong, Zihao Zhang, Shangcheng Hu, Ruyan Zhou, Haiyan Pan, Shijie Liu, Qing Fu, Xiaohua Tong

“…The method does not require pre-extraction of image features and constructing a cost map; instead, it dynamically detects impassable regions in the overlapping areas during the A* path search process. …”
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Mapping the most effective measures to optimize carrot slice tray drying using physics-based and Monte Carlo simulations by Jörg Schemminger, Sharvari Raut, Barbara Sturm, Thijs Defraeye

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Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor by Jingjing Mai, Qisheng Feng, Shuai Fu, Ruijing Wang, Shuhui Zhang, Ruoqi Zhang, Tiangang Liang

“…This study highlights the feasibility of employing transfer learning for crop mapping in the Hexi Corridor, demonstrating its potential to reduce labeling costs for target domain samples and providing a valuable reference for crop mapping in regions with limited sample availability.…”
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Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing by Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian

“…To comprehensively analyze the tree canopy characteristics of urban trees across large areas, this study selects Beijing as the research area, and employs high-resolution remote sensing imagery with deep learning techniques to construct the UTC map of Beijing. Deep learning models typically require large amounts of labeled data for training, but manually annotating pixel-level labels is time-consuming and costly. …”
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Direct oral penicillin challenge in secondary care with low-risk patients: the SPACE mixed-methods study with cost-effectiveness analysis by Mamidipudi Thirumala Krishna, Yogini H Jani, Iestyn Williams, Ruben Mujica-Mota, Rebecca Bestwick, Michele Siciliano, Robert Michael West, Rashmeet Bhogal, Bee Yean Ng, Kornelija Kildonaviciute, Rachel Pollard, Nicola Jones, Louise Dunsmure, Mairead McErlean, Neil Powell, Chidanand C Hullur, Ariyur Balaji, Jonathan Sandoe, Amena Warner, Ron Daniels, Caroline Thomas, Siraj A Misbah, Louise Savic

“…Workstream 3: Care pathway mapping, decision-analytic modelling and value of information analysis were carried out to determine potential cost-effectiveness of direct oral penicillin challenge. …”
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An Integrated Framework for Zero-Waste Processing and Carbon Footprint Estimation in ‘Phulae’ Pineapple Systems by Phunsiri Suthiluk, Anak Khantachawana, Songkeart Phattarapattamawong, Varit Srilaong, Sutthiwal Setha, Nutthachai Pongprasert, Nattaya Konsue, Sornkitja Boonprong

“…Peel and eye residues from fresh-cut processing were enzymatically converted into rare sugar, achieving average conversion efficiencies of 35.28% for peel and 37.51% for eyes, with a benefit–cost ratio of 1.56 and an estimated unit cost of USD 0.17 per gram. …”
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Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network by Zhimin Yang, Bin Wu, Ran Shu

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Maintenance Analysis Method Based on Big Data Processing Technology in Power Telecommunication Network by Zhimin Yang, Bin Wu, Ran Shu

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Deep learning model for recognizing fresh and rotten fruits in industrial processes by Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez

“…Therefore, it is crucial to implement emerging technologies that reduce human effort, costs, and production time while enabling more effective defect detection in fruits. …”
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Large-Scale Topographic Mapping Using RTK-GNSS and Multispectral UAV Drone Photogrammetric Surveys: Comparative Evaluation of Experimental Results by Siyandza M. Dlamini, Yashon O. Ouma

“…Geometrically, the average difference in the perimeter and areas of the features from the RTK-GNSS and UAV drone topographical maps were −0.26% and −0.23%, respectively. The results achieved the recommended positional accuracy standards for the production of digital geospatial data, demonstrating the cost-effectiveness of low-cost UAV drones for large-scale topographical mapping.…”
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Automatic Restoration of Dunhuang Murals and Process Visualization Method Based on Deep Learning by Miao Jia, Jie Hu, Zhongliang Yang, Weijie Liu, Jin Qi, Bin Chen

“…Compared to manual restoration, the proposed model significantly reduces the time and cost of restoration work. In addition, we propose a method for constructing and preserving the contour maps of mural images and present the model’s training process. …”
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Materiality of Memorialization: Mapping Migrant Women's Landmarks in Europe [version 2; peer review: 1 approved, 3 approved with reservations] by Igor Lyman, Veronika Čapská, Maria Bostenaru Dan, María Amor Barros-del Río, Pirita Frigren, Alba Comino, Biljana Ristovska-Josifovska, Pauliina Räsänen, Marie Ruiz, Bénédicte Miyamoto, Fiona Eva Bakas, Heidi Martins, Lívia Prosinger, Victoria Konstantinova, Maija Ojala-Fulwood

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Illegal Abandoned Waste Sites (IAWSs): A Multi-Parametric GIS-Based Workflow for Waste Management Planning and Cost Analysis Assessment by Alfonso Valerio Ragazzo, Alessandro Mei, Sara Mattei, Giuliano Fontinovo, Mario Grosso

“…From these data, a Functional Unit (FU) of 1 ton of mixed waste plus 381.6 kg of inert material is determined, a fundamental stage for comparing different cost analysis processes in similar contexts. By using a GIS-based workflow, a cost analysis assessment is provided, aiming to support principal activities such as waste transportation and disposal to the proper plant (e.g., landfill or incineration). …”
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Adaptation of a gender-transformative sexual and reproductive health intervention for adolescent boys in South Africa and Lesotho using intervention mapping by Áine Aventin, Stephan Rabie, Sarah Skeen, Mark Tomlinson, Moroesi Makhetha, Zanele Siqabatiso, Maria Lohan, Mike Clarke, Lynne Lohfeld, Allen Thurston, Jackie Stewart

“…Conclusions: The IM approach allows for a systematic appraisal of whether components and processes of an existing intervention are appropriate for a new target population before costly evaluation studies are conducted. …”
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Waste Identification in Production Process Using Lean Manufacturing: A Case Study by Herninanjati Paramawardhani, Kifayah Amar

“…This approach is able to help company in many sectors, such as identification and elimination of waste, better quality of product and service, lowering the production cost, reducing the human effort and the production process time. …”
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All physical reservoir computing system with tunable temporal dynamics for multi‐timescale information processing by Wanxin Huang, Yiru Wang, Jianyu Ming, Shanshuo Liu, Jing Liu, Jingwei Fu, Haotian Wang, Wen Li, Yannan Xie, Linghai Xie, Haifeng Ling, Wei Huang

“…Abstract Physical reservoir computing (PRC) offers an effective computing paradigm for spatiotemporal information processing with low training costs. Achieving controllable regulation over the temporal dynamics of devices to meet the computational demands of each physical layer is a key challenge for realizing high‐performance PRC chips. …”
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Low-cost water level measurement technologies for assessing the impact of climate change and storm surges in coastal areas, suitable for citizen science initiatives by Juan Francisco Martinez-Osuna, Juan Francisco Martinez-Osuna, Viviana Piermattei, Giovanni Coppini, Marco Marcelli, Marco Marcelli

“…The main objective of this work is to develop a low-cost, easy-to-install device capable of accurately measuring sea and river water levels, along with basic meteorological variables at the ocean–atmosphere interface. …”
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