|
|
|
|
|
Xingdong Sun, Yukai Zheng, Delin Wu and Yuhang Sui
The key technology of automated apple harvesting is detecting apples quickly and accurately. The traditional detection methods of apple detection are often slow and inaccurate in unstructured orchards. Therefore, this article proposes an improved YOLOv5s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shun Chen, Xinwei Zhang, Chunxia Jiang, Kechuan Yi, Qingqing Wang, Xuemeng Sha and Xiaolong Zhang
Aiming to address the problems of low working efficiency and high damage rate of high and low roller peeling equipment in the process of fresh corn harvesting in China, this paper theoretically analyzes the mechanical motion process between the peeling d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wanru Li, Mekuanent Muluneh Finsa, Kathryn Blackmond Laskey, Paul Houser and Rupert Douglas-Bate
Predicting groundwater levels is challenging, especially in regions of water scarcity where data availability is often limited. However, these regions have substantial water needs and require cost-effective groundwater utilization strategies. This study ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Violeta Migallón, Héctor Penadés, José Penadés and Antonio José Tenza-Abril
Lightweight aggregate concrete (LWAC) is an increasingly important material for modern construction. However, although it has several advantages compared with conventional concrete, it is susceptible to segregation due to the low density of the incorpora...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dorin Moldovan
This article introduces a novel nature-inspired algorithm called the Plum Tree Algorithm (PTA), which has the biology of the plum trees as its main source of inspiration. The PTA was tested and validated using 24 benchmark objective functions, and it was...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mehran Nasseri, Taha Falatouri, Patrick Brandtner and Farzaneh Darbanian
In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, speci...
ver más
|
|
|
|
|
|
|
|
|
|
|
Madhurima Das, Chandan Kumar Deb, Ram Pal and Sudeep Marwaha
In this study, leaf area prediction models of Dendrobium nobile, were developed through machine learning (ML) techniques including multiple linear regression (MLR), support vector regression (SVR), gradient boosting regression (GBR), and artificial neura...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yves Adou, Ekaterina Markova and Yuliya Gaidamaka
The Network Slicing (NS) technology, recognized as one of the key enabling features of Fifth Generation (5G) wireless systems, provides very flexible ways to efficiently accommodate common physical infrastructures, e.g., Base Station (BS), multiple logic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roberto Rossi, Michele Modoni, Riccardo Monterubbianesi, Giacomo Dallari and Lucia Memè
This paper describes a favorable effect of the use of bone lamina in guided bone regeneration. Aside from the expected GBR effect on the edentulous ridges, the authors have noticed a positive effect of augmented support to the natural dentition neighbori...
ver más
|
|
|
|
|
|
|
|
|
|
|
In-Woong Um, Jeong-Kui Ku, Yu-Mi Kim, Pil-Young Yun, Na-Hee Chang, Young-Kyun Kim and Yonghoon Choi
Autogenous and allogeneic demineralized dentin matrices (Auto-DDM and Allo-DDM, respectively) are currently used for guided bone regeneration (GBR). Buccal marginal bone (BMB) resorption is critical for successful implant integration. This study analyzed...
ver más
|
|
|
|
|
|