Identifying degradation pathways at Sembrong Dam, Johor: insights from Sentinel-2 satellite imagery and NDVI analysis by Mustafa Anjang Ahmad, Muhammad Dzikri Kahlid, Muhammad Haziq Izzuddin Mohd Hussin, Mohd Adib Mohammad Razi, Ebrahim Hamid Hussein Al-Qadami, Mokhamad Nur Cahyadi

“…The study uses Red Bands (RED) and Near-Infrared Bands (NIR) to process sentinel satellite images to create NDVI maps. Data is uploaded as Raster data in QGIS, and NDVI calculations are performed to transform raw satellite data into an index for vegetation health. …”
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Global prevalence of spondyloarthritis in low-income and middle-income countries: a systematic review and meta-analysis protocol by Jean Joel Bigna, Sabrina Hamroun, Edem Allado, Anthony Moussu, Aurore Camier, Bruno Chenuel, Aghiles Hamroun

“…There is great interest in obtaining accurate data on the disease prevalence, especially in regions where data remains scarce such as low-income and middle-income countries (LMICs), in order to measure and understand the needs of their healthcare systems. …”
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Distortion Measurement Metric for Human Image Refinement and Evaluation Using Distorted Image Datasets by Gwangyeol Yu, Kyungseo Yoon, Sangwoo Lee, Yeju Shin, Jonghyuk Park

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Neurobiology-based cognitive biotypes using multi-scale intrinsic connectivity networks in psychotic disorders by Pablo Andrés-Camazón, Covadonga M. Diaz-Caneja, Ram Ballem, Jiayu Chen, Vince D. Calhoun, Armin Iraji

“…We analyzed B-SNIP consortium data (2 270 participants including participants with psychotic disorders, relatives, and controls, 55% females). …”
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Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“…ObjectiveThe objective of this study is to provide an alternative method for distinguishing between radiologists by means of captured eye-tracking data such that the raw gaze (or processed fixation data) can be used to discriminate users based on subconscious behavior in visual inspection. …”
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Technology-Enhanced Differentiated Instruction: A Narrative Review by Ata Barzegari, Esmaeil Azimi Yancheshmeh, Javad Hatami

“…LA systematically collects and analyzes learner data to inform instructional decisions and personalize learning experiences.Providing Timely Data for Personalized Learning Design: LA automates data collection and analysis, allowing teachers to quickly visualize learner performance and guide content creation, reducing the time needed for personalized instruction.Facilitating Teachers' Use of Digital Platforms: LA provides user-friendly tools that simplify data interpretation, allowing teachers to adjust instruction without needing advanced technical skills.Handling Learner Profile Diversity: LA helps educators track and analyze learner behaviors, enabling them to group learners with similar profiles and tailor instruction to meet their specific needs.Improving Management of Large Online Classes: LA offers real-time insights into learner performance, allowing teachers to manage diverse learner needs in large classes more effectively.Enhancing Assessment and Feedback: LA automates feedback mechanisms, providing timely, personalized suggestions and allowing teachers to continuously assess learners and target support where needed. …”
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AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation by Md Masudur Rahman, Mohamed El Masry, Surya C Gnyawali, Yexiang Xue, Gayle Gordillo, Juan P Wachs

“…ConclusionsThe storage of multimodal imaging data within the EMR, along with the ability for post hoc analysis by AI algorithms, offers significant advancements in burn care, enabling real-time burn depth prediction on currently available data. …”
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Strategi Komunikasi Widyaiswara dalam Pelatihan Peningkatan Kapasitas Dan Kinerja Aparatur Sipil Negara Sekretariat Jenderal Dewan Perwakilan Rakyat Republik Indonesia by Farizka Rusyda Nasution, Ayu Usada Rengkaningtias

“…Penentuan informan dalam penelitian ini menggunakan teknik purposive sampling yang terdiri dari Widyaiswara DPR RI dan ASN DPR RI. Teknik pengumpulan data meliputi data primer yang diperoleh melalui wawancara mendalam sedangkan data sekunder diperoleh dari buku, sumber arsip, internet, jurnal, publikasi, serta dokumen relevan mengenai masalah penelitian. …”
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EEG Functional Connection Analysis Based on the Weight Distribution of Convolutional Neural Network by Jinglong Wu, Peiwen Huang, Tiantian Liu, Go Ritsu, Duanduan Chen, Tianyi Yan

“…The electroencephalogram (EEG) data used in this paper was acquired through a visual mismatch negativity (MMN) experiment. …”
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TextSCD: Leveraging Text-based Semantic Guidance for Remote Sensing Image Semantic Change Detection by H. Huang, Q. Cheng, Q. Cheng, D. Zhu, X. Huang, Q. Zhao

“…Despite significant advancements in deep learning leading to numerous successful approaches, most existing methods primarily rely on visual representation learning, thereby overlooking the potential benefits of multimodal data. …”
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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…Namun untuk menginterpretasikan sinyal visual, peserta memerlukan proses analisis yang lebih kompleks. …”
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Six decades of global coral bleaching monitoring: a review of methods and call for enhanced standardization and coordination by Andrea Rivera-Sosa, Aarón Israel Muñiz-Castillo, Ben Charo, Gregory P. Asner, Chris M. Roelfsema, Simon D. Donner, Brianna D. Bambic, Ana Gabriela Bonelli, Ana Gabriela Bonelli, Morgan Pomeroy, Morgan Pomeroy, Derek Manzello, Paulina Martin, Helen E. Fox

“…To enhance global coral bleaching assessments, we propose a standardized framework that ensures open access and accessible data that aligns with decision-makers’ needs for efficient data aggregation and interoperability to better understand temporal and spatial bleaching events. …”
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MUXAS-VR: A Multi-Dimensional User Experience Assessment System for Virtual Reality by Peerawat Pannattee, Yosuke Fukuchi, Nobuyuki Nishiuchi

“…MUXAS-VR integrates individual behavioral data with visual attributes, such as motion dynamics and visual complexity, to account for individual interactions and visual influences. …”
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GRE²-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning by Quanjun Li, Weixuan Li, Xiya Zheng, Junhua Zhou, Wenming Zhong, Xuhang Chen, Chao Long

“…However, most graph neural network models require extensive labelled data, limiting their practical applicability. To address this, researchers have explored Graph Contrastive Learning (GCL), which uses enhanced graph data and contrastive learning to better capture graph structure and features, providing new avenues for solving real-world problems with limited labelled data. …”
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Implementation of an Internet of Things Architecture to Monitor Indoor Air Quality: A Case Study During Sleep Periods by Afonso Mota, Carlos Serôdio, Ana Briga-Sá, Antonio Valente

“…An ESP32-C6-based device is developed to measure sensor data and send them, using the MQTT protocol, to a remote InfluxDBv2 database instance, where the data are stored and visualized. …”
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3D Robotics and LMM for Vineyard Inspection by S. Facenda, P. Trybała, L. Morelli, N. Padkan, N. Padkan, F. Remondino

“…Moreover, the emergence of foundation models in vision-based AI domain presents an opportunity to perform automated interpretation of in-field collected data. This study presents a cost-effective mobile robotic research platform designed for autonomous vineyard inspection: it integrates mission planning, real-world navigation and a post-processing pipeline of multimodal data. …”
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A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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面向装配的2K-V型减速机三维参数化设计 by 轩雷, 李充宁, 贾海利

“…By adopting the method of parameterization design based on the 3D model and modularization program, the query, transfer and optimization of the system data are completed and the 3D Parameterization design of 2K-V reducer based on design-for-assembly is realized in Visual C++.…”
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The Digital Sublime: Orientation Strategies for a Vertiginous World by Alejandra López Gabrielidis, Toni Navarro

“…If we, and our bodies, are constantly translated into data, can art and design reverse meaning and make our data transform into bodies in such a way as to produce an aesthetic (sensible) experience of them? …”
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Spatially explicit action research for coastal fisheries management. by Tara N Lawrence, R S Bhalla

“…Approximately 7,945 square kilometres of fishing grounds were surveyed and 3,427 fishing trips were observed using nine GPS enabled echo-sounders operated by fishermen. Data were visualised and non parametric statistical analysis revealed distinct patterns in fishing effort, high density fishing zones and large overlaps in zones between traditional, motorised and mechanised craft. …”
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