Text-guided RGB-P grasp generation by Van Duc Vu, Van Thiep Nguyen, Nam Hai Pham, Dinh-Cuong Hoang, Phan Xuan Tan

“…For example, when asked to grasp a specific object on a table with many objects, robots relying only on visual data can easily get confused and grasp the wrong object. …”
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NLP for computational insights into nutritional impacts on colorectal cancer care by Shengnan Gong, Xiaohong Jin, Yujie Guo, Jie Yu

“…Relevant terms are then extracted and visualized in a word cloud. The dataset also contained an imbalanced binary CRC outcome, which is rebalanced utilizing the random oversampling. …”
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A Sensor-Based Data Acquisition System for Soil Parameters to Determine Suitable Crops by Blessing Olatunde Abisoye, Eustace Manayi Dogo, Buhari Ugbede Umar, Isaac Zhiri Mamman

“…The system collects data through a network of sensors installed in the soil and wirelessly transmits the data to a cloud-based server. The collected data is then analyzed and visualized in through a web-based dashboard, providing farmers with information about the state of their soil. …”
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Practice and discussion on maintenance of seawater pump at LNG terminal by Zhengyin WANG, Hongqiang LIU, Junxiao WANG

“…Incorporating intelligent technologies such as sensors, data analysis, and cloud computing via the Internet of Things (IoT) into overhaul and maintenance procedures can enable realtime monitoring and alerts. …”
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Autonomous unmanned aerial vehicles exploration for semantic indoor reconstruction using 3D Gaussian splatting by Hao Xuan Zhang, Yilin Yang, Zhengbo Zou

“…The final outputs are point clouds with building components and material labels. …”
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Advancements in artificial intelligence and machine learning for poultry farming: Applications, challenges, and future prospects by Muhammad Halim Natsir, Wayan Firdaus Mahmudy, Mochamad Tono, Yuli Frita Nuningtyas

“…Edge-AI solutions further reduce latency and dependence on cloud computing, making on-site monitoring feasible in low-connectivity environments. …”
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High-Resolution Global Land Cover Maps and Their Assessment Strategies by Qiongjie Xu, Vasil Yordanov, Lorenzo Bruzzone, Maria Antonia Brovelli

“…., neural networks and transformers), and their direct application on powerful cloud-computing platforms. A comprehensive analysis of the temporal dimension of land cover products, where available, is conducted, highlighting a shift from decadal intervals to production intervals of less than a month. …”
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FOLU-Net: A novel framework using long short-term memory networks to predict future forestry and other land use by Sanchali Banerjee, Paige T. Williams, Randolph H. Wynne

“…DESIS, mounted on the International Space Station, records Earth observation data in 235 channels over a 400–1000 nm spectral range. Five overlapping cloud-free images were selected, capturing the seasonal variability among land covers to form the multitemporal image stack. 1070 randomly generated training points spanning the five dates were visually classified into four land cover classes: forest plantation, palm plantation, natural forest, and non-forest. …”
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A Concise Dataset for Intelligent Behaviors in Domestic Tasks by Marlon de Oliveira Vaz, Ronnier Frates Rohrich, Joao Alberto Fabro, Andre Schneider de Oliveira

“…The method creates a precise and detailed visual description of objects, which improves a service robot’s ability to approach and pick up objects. …”
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First Experience of Combined Treatment of Corneal and Graft Ulcers in Preschool Children Using Local Ultraviolet Crosslinking (Clinical Cases) by A. V. Pleskova, L. A. Katargina, E. N. Iomdina, I. R. Mamakaeva, A. Yu. Panova

“…During treatment with each subsequent CL procedure, the clinical condition of the eyes improved: inflammation was relieved, photophobia, lacrimation, blepharospasm disappeared, a gradual increase in the epithelium from the periphery of the cornea with the formation of a gentle translucent opacification was noted, vascular activity decreased, and visual acuity significantly increased. After 2–10 months, in both cases there are no active complaints, the eyes are calm, infiltrates were not determined, in their place a gentle cloud-like translucent opacity formed, including in a child after keratoplasty. …”
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Global path planning algorithm for mining vehicles integrating simplified visibility graph and A* algorithm by ZHANG Chuanwei, LU Siyan, QIN Peilin, ZHOU Rui, ZHAO Ruiqi, YANG Jiajia, ZHANG Tianle, ZHAO Cong

“…Based on the construction of a point cloud map of the real environment, the algorithm connected the vehicle's visual tangent points from different viewpoints to dynamically generate the SVG. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…Imaging sonar is a crucial tool for underwater visual perception. Compared to 2D sonar images, 3D sonar images offer superior spatial positioning capabilities, although the data acquisition cost is higher and lacks open source references for data annotation, target detection, and semantic segmentation. …”
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Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning by Leandro Parente, Lindsey Sloat, Vinicius Mesquita, Davide Consoli, Radost Stanimirova, Tomislav Hengl, Carmelo Bonannella, Nathália Teles, Ichsani Wheeler, Maria Hunter, Steffen Ehrmann, Laerte Ferreira, Ana Paula Mattos, Bernard Oliveira, Carsten Meyer, Murat Şahin, Martijn Witjes, Steffen Fritz, Ziga Malek, Fred Stolle

“…The produced maps (about 4 TB in size) are available under an open data license as Cloud-Optimized GeoTIFFs and as Google Earth Engine assets. …”
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Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone by Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh, Alexandr A. Shilov, Irina Razveeva, Diana Elshaeva, Andrei Chernil’nik, Gleb Onore

“…Architectures based on PointNet and PointCloudTransformer are chosen as the basis for the classification algorithms. …”
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IrrigApp: An Online Tool for Determining Crop Water Use and Evaluating Irrigation Scheduling Options by José O. Payero

“…IrrigApp also facilitates visualizing the impact of timing and amount of irrigation applied on daily and seasonal ETc and water losses.…”
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An IoT-Based Smart System with an MQTT Broker for Individual Patient Vital Sign Monitoring in Potential Emergency or Prehospital Applications by Yung-Chung Tsao, Fu-Jen Cheng, Yi-Hua Li, Lun-De Liao

“…A central controller accessed by radio-frequency identification (RFID) collects clients’ health profiles on the cloud platform. All collected data can be quickly shared, analyzed, and visualized, and the health devices can be changed, added to, and removed reliably when the requirements change. …”
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Evaluation framework for the generation of continental bare surface reflectance composites by Paul Karlshoefer, Pablo d’Angelo, Jonas Eberle, Uta Heiden

“…The additional outlier removal focusing on clouds and haze marginally improved the SRC at the continental scale but can be very effective for areas with more frequent clouds. …”
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Quantification of Estrogen Receptor-Alpha Expression in Human Breast Carcinomas With a Miniaturized, Low-Cost Digital Microscope: A Comparison with a High-End Whole Slide-Scanner. by Oscar Holmström, Nina Linder, Mikael Lundin, Hannu Moilanen, Antti Suutala, Riku Turkki, Heikki Joensuu, Jorma Isola, Vinod Diwan, Johan Lundin

“…Here we present a low-cost, cloud-connected digital microscope for applications at the point-of-care. …”
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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…Our approach addresses common challenges in satellite-derived LST data, such as gaps caused by cloud cover, image border limitations, grid-pattern sensor artifacts, and temporal discontinuities due to infrequent sensor overpasses. …”
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Prevalence and Causes of Blindness and Vision Impairment in the State of Qatar: Results of a Population-Based Cross-Sectional Study by Mohammed AlThani, Mariam Abdulmalik, Samya AlAbdulla, Kholoud AlMotawaa, Halla Algadi, Muhammad Rabiu, Ian McCormick, Shadi AlAshwal

“…Data collection was through the RAAB7 Android application and supervised by a trainer using secure, encrypted cloud storage. Results: Of the 3,206 participants examined, 14 (0.4%) had blindness and 10 (0.3%) had severe VI. …”
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