AUTOMATIC PALM COUNTING DENGAN METODE TEMPLATE MATCHING (STUDI KASUS DI UNIVERSITAS SAMUDRA) by Agusman, Iswahyudi, Iwan saputra

“…The use of this technology is expected to be a model that can be implemented in various other educational institutions.…”
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Review of Recent Advances in Remote Sensing and Machine Learning Methods for Lake Water Quality Management by Ying Deng, Yue Zhang, Daiwei Pan, Simon X. Yang, Bahram Gharabaghi

“…This review also discusses the effectiveness of these models in predicting various water quality parameters, offering insights into the most appropriate model–satellite combinations for different monitoring scenarios. …”
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The techniques and applications of patient-derived head and neck cancer organoids: a systematic review by Yangyang Xia, Shang Xie, Zhigang Cai, Xiaofeng Shan

“…Results The novel three-dimensional models represented by tumor organoids have filled the gaps in spatial structure and clinical reproducibility of traditional two-dimensional cancer cell lines. …”
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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space by Shuai Li, Shufang He, Yuanrui Dong, Caihong Dai, Jinyuan Liu, Yanfei Wang, Hiroaki Shigemasu

“…In the future, it is necessary to explore methods for easier manipulating of depth cue signals in stereoscopic images and adopting deep learning-related methods to construct models and predict depths, to meet the increasing demand of human–computer interaction in complex 3D scenarios.…”
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Estimating Wheat Chlorophyll Content Using a Multi-Source Deep Feature Neural Network by Jun Li, Yali Sheng, Weiqiang Wang, Jikai Liu, Xinwei Li

“…Compared to the second-best model, the DNN (R² = 0.799, RMSE = 6.479, RRMSE = 18.23%), the MDFNN achieved a 6.4% increase in R², and 13.5% reductions in both RMSE and RRMSE. (3) The MDFNN exhibited strong robustness and adaptability across varying years, wheat varieties, and nitrogen application levels. …”
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Use of Vision Transformer to Classify Sea Surface Phenomena in SAR Imagery by Junfei Xia, Roland Romeiser, Wei Zhang, Tamay Ozgokmen

“…In addition, our study is the first to apply a pretrained ViT model to a dataset with different polarizations and spatial resolutions—the AI4Arctic Sea Ice Challenge dataset—to rigorously assess model adaptability. …”
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Delimitation of Landslide Areas in Optical Remote Sensing Images Across Regions via Deep Transfer Learning by Zan Wang, Shengwen Qi, Yu Han, Bowen Zheng, Yu Zou, Yue Yang

“…A post-processing module is integrated into the Mask R-CNN architecture to address the challenge of overlapping mask predictions for individual landslide objects. The results indicate that the Mask R-CNN model exhibits superior overall performance in comparison with the U-Net model and is more suitable for tasks requiring detailed delineation of the object outlines in images. …”
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Association of Antibiotic Resistance Traits in Uropathogenic Escherichia coli (UPEC) Isolates by Md. Mostafizer Rahman, Mridha Md. Kamal Hossain, Rubaya Rubaya, Joyanta Halder, Md. Ekramul Karim, Anjuman Ara Bhuiya, Anwara Khatun, Jahangir Alam

“…However, these findings might have important implications for the development of an AMR prediction model to tackle future AMR outbreaks.…”
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Energy-dependent Transport of Cosmic Rays in the Multiphase, Dynamic Interstellar Medium by Lucia Armillotta, Eve C. Ostriker, Nora B. Linzer

“…To interpret these numerical results, we develop a two-zone analytic model that captures and links the two (physically and spatially) distinct regimes of CR transport in the multiphase, dynamic ISM. …”
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Changes in forest ecosystem stability under climate change in a temperate landscape by Pavithra Rangani Wijenayake, Takuto Shitara, Akiko Hirata, Tetsuya Matsui, Tetsuya Matsui, Yasuhiro Kubota, Takashi Masaki

“…We hypothesize that even with the expected changes in climate, the structural stability of the species assembly will remain unchanged until the end of this century. We modeled the influence of climate change on the spatial distribution of major tree species in a temperate deciduous forest reserve using local and regional presence data. …”
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New approaches to unveil the unknown: oxygen depletion and internal eutrophication in a Baltic lagoon over decades by Gerald Schernewski, Gerald Schernewski, Thomas Neumann, Sarah Piehl, Mario von Weber

“…This approach allows us to assess the duration, spatial extent, and ecological impacts of oxygen depletion in the Oder/Szczecin Lagoon, located in the southern Baltic Sea. …”
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YO-AFD: an improved YOLOv8-based deep learning approach for rapid and accurate apple flower detection by Dandan Wang, Dandan Wang, Huaibo Song, Huaibo Song, Huaibo Song, Bo Wang

“…The timely and accurate detection of apple flowers is crucial for assessing the growth status of fruit trees, predicting peak blooming dates, and early estimating apple yields. …”
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Enhancing Deep Learning Sustainability by Synchronized Multi Augmentation with Rotations and Multi-Backbone Architectures by Nikita Gordienko, Yuri Gordienko, Sergii Stirenko

“…Deep learning applications for Edge Intelligence (EI) face challenges in achieving high model performance while maintaining computational efficiency, particularly under varying image orientations and perspectives. …”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

“…This comparison underscores the model’s robustness, highlighting improvements in minimizing false positives and false negatives, which are crucial for real-world applications where reliable predictions are essential. …”
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Spatiotemporal hybrid deep learning for estimating and analyzing carbon stocks: a case study in Jiangsu province, China by Lizhi Miao, Jvmin Wang, Kaiwen Wu, Heng Xu, Xiying Sun, Gang Lu, Mei-Po Kwan

“…The model demonstrated excellent performance in predicting carbon (R2 = 0.91, 10-fold CV R2 = 0.80). …”
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TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

“…This allows the model to predict movement trajectories accurately, enabling motor learning and functional recovery of patients through real time feedback without the expensive hardware. …”
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Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

“…This study highlights the robustness of support vector regression and accentuates the impact of climatic and environmental conditions on model performance, ultimately contributing to more precise predictions of latent heat flux.…”
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Integration of Drone and Satellite Imagery Improves Agricultural Management Agility by Michael Gbenga Ogungbuyi, Caroline Mohammed, Andrew M. Fischer, Darren Turner, Jason Whitehead, Matthew Tom Harrison

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C-Band Radar-Based Improved Snow Depth Estimation (C-RISE) in the Indian Western Himalayas and Colorado Rocky Mountains by R. Chandra Prabha, Srinivasarao Tanniru, RAAJ Ramsankaran

“…Monitoring snow depth (SD) in mountainous regions is essential for water resource management, climate studies, and disaster predictions. Synthetic aperture radar (SAR)-based remote sensing, with its high spatial resolution and penetration capability, is more suited for such areas. …”
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Hyperspectral sensing of aboveground biomass and species diversity in a long-running grassland experiment by Ramesh K. Ningthoujam, Keith J. Bloomfield, Michael J. Crawley, Catalina Estrada, I. Colin Prentice

“…The predictive power for our PLSR model of biomass (Rcv2 = 0.54) compares favourably with values reported in earlier grassland studies. …”
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