Foundation Models as Assistive Tools in Hydrometeorology: Opportunities, Challenges, and Perspectives by Lujia Zhang, Yurong Song, Hanzhe Cui, Mengqian Lu, Chenyue Li, Binhang Yuan, Bin Wang, Upmanu Lall, Jing Yang

“…Foundation models (FMs), which can process diverse inputs and perform different tasks, present a substantial opportunity to overcome this challenge. …”
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Multi-modal Land Cover Classification of Historical Aerial Images and Topographic Maps Exploiting Attention-based Feature Fusion by M. Dorozynski, F. Rottensteiner, F. Thiemann, M. Sester, T. Dahms, M. Hovenbitzer

“…Knowledge about past and present land cover is of interest for the assessment of the current status of our environment and, thus, for proper planning of the future. …”
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A Machine Learning-Assisted Automation System for Optimizing Session Preparation Time in Digital Audio Workstations by Bogdan Moroșanu, Marian Negru, Georgian Nicolae, Horia Sebastian Ioniță, Constantin Paleologu

“…Modern audio production workflows often require significant manual effort during the initial session preparation phase, including track labeling, format standardization, and gain staging. This paper presents a rule-based and Machine Learning-assisted automation system designed to minimize the time required for these tasks in Digital Audio Workstations (DAWs). …”
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Self-reconfigurable multifunctional memristive nociceptor for intelligent robotics by Shengbo Wang, Mingchao Fang, Lekai Song, Cong Li, Jian Zhang, Arokia Nathan, Guohua Hu, Shuo Gao

“…The maximum amplification of hazardous external stimuli is 1000%, and its response characteristics dynamically adapt to current temperature conditions by automatically altering the generated modulation schemes for the memristor. …”
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Collaborative Heterogeneous Mini-Robotic 3D Printer for Manufacturing Complex Food Structures with Multiple Inks and Curved Deposition Surfaces by Karen Jazmin Mendoza-Bautista, Mariana S. Flores-Jimenez, Laisha Daniela Vázquez Tejeda Serrano, Grissel Trujillo de Santiago, Mario Moises Alvarez, Arturo Molina, Mariel Alfaro-Ponce, Isaac Chairez

“…One of the most advanced methods for this is food printers reproducing additive manufacturing processes. This study presents a fully automatized 3D food printer leveraging collaborative Cartesian and multi-ink robotic systems to create complex food structures, with materials with different rheological settings using a screw conveyor configuration with controlled motion velocity. …”
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Wearable Medical Devices: Application Status and Prospects by Xiaowen Wang, Yingnan Gao, Yueze Yuan, Yaping Wang, Anqin Liu, Sen Jia, Wenguang Yang

“…The existing problems and development prospects in this field are presented.…”
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Quantifying damage from wild pigs with small unmanned aerial systems by Sathishkumar Samiappan, Joby M. Prince Czarnecki, Hearne Foster, Bronson K. Strickland, Jessica L. Tegt, Robert J. Moorhead

“…In general, automated classification underestimated the area of damage present within fields. Kappa values ranged from 0.26 to 0.51, on a scale of 0.0–1.0. …”
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Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought... by Sanghwan Kim, Sowon Jang, Borham Kim, Leonard Sunwoo, Seok Kim, Jin-Haeng Chung, Sejin Nam, Hyeongmin Cho, Donghyoung Lee, Keehyuck Lee, Sooyoung Yoo

“…Recent advancements in large language model (LLM) technology have made it possible to automatically interpret medical context and support pathologic staging. …”
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Research on Intelligent Detection and Segmentation of Rock Joints Based on Deep Learning by Lei Peng, Haibo Wang, Chun Zhou, Feng Hu, Xiaoyang Tian, Zhu Hongtai

“…To address these concerns, this paper presents an intelligent recognition and segmentation algorithm based on Mask R-CNN (mask region-based convolutional neural network) for detecting joint targets on tunnel face images and automatically segmenting them, thereby improving detection efficiency and objectivity of the results. …”
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Combining Deep Learning and Street View Images for Urban Building Color Research by Wenjing Li, Qian Ma, Zhiyong Lin

“…In this document, we focus on “building color” and present a deep learning-based framework that combines geospatial big data with AI technology to extract and analyze urban color information. …”
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Advanced bearing fault detection at varying rotational speeds using PSO-optimized SVM and CDET feature selection by Hongxu Chai, Xiaoshi Ma, Feng Zhu, Yandong Hu

“…Unlike previous studies, our approach combines empirical mode decomposition (EMD), wavelet packet decomposition (WPD), and a comprehensive attribute retrieval strategy from both time and frequency domains. Critically, we present an enhanced distance compensation evaluation technique (CDET) for feature selection, in which the threshold parameter is automatically optimized using particle swarm optimization (PSO) rather than being set arbitrarily. …”
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PSO-Optimized Deep Learning for Ultra-Precise Corrosion Detection on HDD Read/Write Heads by Chaiwat Punyammaree, Somyot Kaitwanidvilai

“…This paper presents a novel deep learning approach for automated detection and counting of corrosion pits on Hard Disk Drive (HDD) read/write heads using Scanning Electron Microscopy (SEM) images. …”
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THE METHOD OF GEOMETRIC CALIBRATION OF OPTOELECTRONIC SYSTEMS BASED ON ELECTRONIC TEST OBJECT by D. A. Kozhevnikov, R. V. Feodortsau

“…The purpose of the research was creating an automatically method of distortion correction coefficients calculating with a 3 μm precision in the measurement process. …”
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Estimating the time period between infection and diagnosis based on CD4+ counts at first diagnosis among HIV-1 antiretroviral naïve patients in Nigeria by Joseph C Forbi, Thanda D Forbi, Simon M Agwale

“…Results: The results showed that 22.1% and 49.7% of HIV-infected individuals present late with advanced (CD4+: 200-349 cells/mL) and severe (CD4+: < 200 cells/mL) immunosuppression respectively, while only 12.1% present with CD4+  500 cells/mL and 16.2%with CD4+ between 350-499 cells/mL. …”
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Extracting fluorescent reporter time courses of cell lineages from high-throughput microscopy at low temporal resolution. by Mike J Downey, Danuta M Jeziorska, Sascha Ott, T Katherine Tamai, Georgy Koentges, Keith W Vance, Till Bretschneider

“…Our algorithm has been optimized to cope with large cell movements, and we were able to semi-automatically extract cell trajectories across three cell generations. …”
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The envy-contempt spiral: affective self-regulation in grandiose narcissism by Alexandros Raftopoulos, Human-Friedrich Unterrainer, Human-Friedrich Unterrainer, Human-Friedrich Unterrainer

“…To regulate envy, we propose that contempt is automatically activated, leading to devaluation through indifference, which in turn fosters social conflict. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…The method can effectively utilize the information of all the present attribute values in incomplete data, and the obtained subnetwork population model is a fit to the attribute association relationships implied by all the present attribute values in incomplete data. …”
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A novel approach for music genre identification using ZFNet, ELM, and modified electric eel foraging optimizer by Shuang Zhang, Zhiyong Sun, Hasan Jafari

“…The purpose of classifying music genres is to automatically assign music pieces to one or more predefined genres. …”
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Multilabel Classification of Radiology Image Concepts Using Deep Learning by Vito Santamato, Agostino Marengo

“…In this study, we developed a deep learning-based system capable of automatically assigning multiple standardized medical concepts to radiology images, leveraging deep learning models. …”
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SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs. by Jamil Ahmad, Muhammad Sajjad, Irfan Mehmood, Sung Wook Baik

“…Saliency detector is employed to automatically identify regions of interest like tumors, fractures, and calcified spots in images prior to feature extraction. …”
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