Manfaat Website sebagai Media Pemasaran untuk Meningkatkan Jangkauan Pelanggan Baru pada PT. Barokah Aulia Mastur by Ar Rahman, Shinta Yuliastriy, Zikra Ababil, Gustri Efendi, April Zahmi

“…The company currently faces limitations in its promotional methods, relying solely on conventional practices such as social media and walk-in customers, which hinders its ability to reach new markets. To address this issue, a Research and Development (R&D) method was employed, using the Waterfall model to guide the system development process through structured phases: requirements analysis, system design, implementation, testing, and maintenance. …”
Get full text

First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic by Zeynep Yüksel, Dursun Emre Epcim, Süleyman Mete

“…At this point, the integration of unmanned aerial vehicles in post-disaster logistics, mapping operations, assessment, search and rescue operations has the potential for process optimization. Unmanned aerial vehicles make a significant contribution to these operations by reaching hard-to-reach areas, detecting damage, identifying people trapped under submerged debris, and ensuring the rapid delivery of relief aid, so it is critical to integrate unmanned aerial vehicles in these areas. …”
Get full text

Integrating BIM Forward Design with CFD Numerical Simulation for Wind Turbine Blade Analysis by Shaonan Sun, Mengna Li, Yifan Shi, Chunlu Liu, Ailing Wang

“…Traditional analysis often isolates Computational Fluid Dynamics (CFD) from Building Information Modeling (BIM) in the design process. This study bridges this gap by integrating BIM forward design with CFD simulation. …”
Get full text

Research on Shoveling Position Analysis and Recognition of Unmanned Loaders for Gravel Piles by Hanwen Zhang, Sun Jin, Bing Li, Bo Xu, Yuanbin Xiao, Weixin Zhou

“…During the test that mimicked how the loader would actually shovel, the number of parameters in the improved model was cut down to 32.5% of the original, the number of calculations was cut down to about 55.2% of the original, and the average accuracy of finding the shoveling position of the gravel pile reached 98%.…”
Get full text

A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

Get full text

Impacts of Climate Change and Land Use/Cover Change on Runoff in the Huangfuchuan River Basin by Xin Huang, Lin Qiu

“…Using CMIP6 GCMs to obtain future climate data and the CA–Markov model to predict future land use data, the two are coupled to estimate the future runoff process in the HFCRB, and the uncertainty of the estimated runoff is decomposed and quantified. …”
Get full text

Pontos de abastecimento de pulverizadores agrícolas: uma revisão comparando os modelos em uso Agricultural chemical handling pads: a review comparing the models in use by Luciano Gebler

Get full text

Quality control of malt by photoluminescent method by M. G. Kulikova, M. V. Belyakov, A. A. Gerts

“…For all the samples studied, families of excitation and luminescence characteristics were obtained for grains of varying degrees of powdery content, extractivity and acidity.ConclusionAs a result of the conducted research:The spectral characteristics of excitation and luminescence of barley and oat malt grains of various degrees of germination have been studied.The dynamics of changes in the powdery content, extractivity and acidity of barley and oat malt during germination has been studied.The dependences of the luminescence flux on the studied biochemical characteristics are presented.Linear approximation equations for barley and oat malt grains are derived.With the help of additive modeling, equations are derived that allow predicting the time to reach the norm of indicators of malt of the highest class.The technological scheme of the process of express diagnostics of powdery content, extractivity and acidity of malt has been developed.The obtained results of spectral and biochemical studies are valuable experimental data that can become the basis for further scientific research in the field of grain and malt studies. …”
Get full text

Research on Tongue Image Segmentation and Classification Methods Based on Deep Learning and Machine Learning by Bin Liu, Zeya Wang, Kang Yu, Yunfeng Wang, Haiying Zhang, Tingting Song, Hao Yang

“…This approach not only achieves an intersection over union (IoU) score above 0.95 across three tongue image datasets but also significantly reduces the labor-intensive annotation process required for training traditional segmentation models while improving the generalization capability of the segmentation model. …”
Get full text

Uncertainty quantification of thermal barrier coatings lifetime on rotating turbine blades considering chemo-thermo-mechanically coupling failure by Weiliang Yan, Cong Li, Qianqian Zhou, Yuqi Xie, Yu Sun, Li Yang, Yichun Zhou

“…A computationally efficient multiscale uncertainty quantification model based on an adaptive Gaussian Process was developed. …”
Get full text

Selection for high quality pepper seeds by machine vision and classifiers by Ke-ling TU, Lin-juan LI, Li-ming YANG, Jian-hua WANG, Qun SUN

Get full text

Source of mine water during coal mining in the contiguous area of Inner Mongolia and Shaanxi by Jian YANG, Hui LI

“…In the deep-buried Cretaceous aquifer, the hydraulic connection with the Quaternary is tight, and the cycle and renewal process is prolonged, resulting in a decrease in environmental isotope values. …”
Get full text

Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning by Jianzhen Chen, Zhijian Luo, Cheng Cheng, Jun Hou, Shaohua Zhang, Chenggang Shu

Get full text

Mechanistic insights into dye adsorption on chitosan-functionalized bentonite: synergizing experiments and computational study by Rachid Et-tanteny, Ibrahim Allaoui, Rachid Haloui, Souad Elkhattabi, Khalid Draoui, Karim El Khadiri

“…The kinetic data revealed that MO adsorption followed the pseudo-first-order (PFO) model, whereas CV adsorption was better described by the pseudo-second-order (PSO) model. …”
Get full text

Periodización táctica y metodología de enseñanza-entrenamiento-aprendizaje en fútbol. Modelo de Juego (Tactical periodization and teaching-training-learning methodology in soccer.... by Ricardo Martín-Moya

“…For this reason, most of these models aim for the athlete to reach a peak of form at a certain moment. …”
Get full text

Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

Get full text

SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture by Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang

“…This approach optimized feature extraction and contextual information capture, effectively addressing long-range dependencies, global information acquisition, and detailed boundary processing. After training on the jujube orchard dataset, the SwinLabNet model demonstrated significant performance advantages: training accuracy reached 97.24%, the mean Intersection over Union (IoU) was 95.73%, and the recall rate was as high as 98.36%. …”
Get full text

Pengembangan Media Pembelajaran Berbasis Website pada Mata Pelajaran Dasar Desain Grafis Menggunakan Model Pengembangan Four-D (Studi pada SMK Negeri 1 Rembang) by Azka Azkiyah, Satrio Hadi Wijoyo, faizatul amalia

“…Peneliti mengembangkan media pembelajaran berbasis website dengan model pengembangan Four-D (define, design, develop, dan disseminate). …”
Get full text

Distribution matters: Long-term quantification of the Sustainable Development Goals with household detail for different socio-economic pathways by Rienne Wilts, Wolfgang Britz

“…SDGs are multi-dimensional and require detail beyond an aggregate household approach to assess income inequality and other differences across households in transformative processes. Incorporating these aspects, we develop an SDG indicator framework for dynamic Computable General Equilibrium Models with a total of 68 endogenous indicators related to 15 SDGs. …”
Get full text

Comparative study on fire flooding development characteristics of heterogeneous heavy oil reservoirs by TAO Lei, DING Yuchen, ZHANG Xia, XU Zhengxiao, HU Ziwei, SHI Wenyang, BAI Jiajia, ZHANG Na, ZHU Qingjie, JIANG Longyu, BAN Xiaochun

“…The fire flooding experiments with or without physical barriers were carried out through the three-dimensional （3D） physical model， and the development of the temperature field， as well as the formation and expansion law of coke zones were explored. …”
Get full text