Establishment of an AI-supported scoring system for neuroglial cells by Annika Bitsch, Manfred Henrich, Svenja Susanne Erika Körber, Kathrin Büttner, Christiane Herden, Christiane Herden

“…Immunfluorescence labeling was used to visualize neuronal processes (anti-neurofilaments), microglia (anti-Iba1) and astrocytes (anti-GFAP). …”
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Neural Network-Aided Milk Somatic Cell Count Increase Prediction by Sára Ágnes Nagy, István Csabai, Tamás Varga, Bettina Póth-Szebenyi, György Gábor, Norbert Solymosi

“…The primary objective of our work was to investigate whether the predictive value of SM diagnostics can be improved by training artificial neural networks (ANNs) on data generated using typical conventional milking systems. …”
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Eye-Guided Multimodal Fusion: Toward an Adaptive Learning Framework Using Explainable Artificial Intelligence by Sahar Moradizeyveh, Ambreen Hanif, Sidong Liu, Yuankai Qi, Amin Beheshti, Antonio Di Ieva

“…To bridge this gap, we propose an Eye-Gaze Guided Multimodal Fusion framework that leverages expert eye-tracking data to enhance learning and decision-making in medical image interpretation. …”
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Image Processing Using Feature-Based Segmentation Techniques for the Analysis of Medical Images by Christodoss Prasanna Ranjith, Krishnamoorthy Natarajan, Sindhu Madhuri, Mahesh Thylore Ramakrishna, Chandrasekhar Rohith Bhat, Vinoth Kumar Venkatesan

“…Image segmentation’s major purpose is to simplify an image’s representation for analysis and interpretation, making it easier for a computer to comprehend and extract meaningful information from visual data. Adaptive K-means clustering is a variant of the classic K-means clustering algorithm in which the number of clusters (K) is continuously adjusted during the clustering process. …”
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ANALISIS PROSES REPRESENTASI MATEMATIS SISWA SMP DALAM MENYELESAIKAN SOAL HOTS (HIGHER ORDER THINKING SKILL) by Dwi Priyo Utomo, Usmiyatun Usmiyatun, Minatun Nadlifah

“…Indikator representasi matematis menggambarkan tiga aspek utama representasi matematis, antara lain representasi visual, representasi simbolik, dan representasi verbal. …”
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Zinc oxide grounds in 19th and 20th century oil paintings and their role in picture degradation processes by Elena Pratali

“…Zinc white and white lead paint samples have been prepared and artificially aged. Visual data have been collected, and FTIR spectroscopy has proved effective in confirming the formation of zinc carboxylates. …”
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基于VB的MTSSD-CADES开发设计 by 陈义军

“…Applying Visual Basic to develop MTSSD-CADES,with the modular design structure,knowledge base and data base are established.Mechanism graph is built by transmission mechanism functional element.Forward direction reasoning expositor is build.According to the design requirement,evaluated by a three-level fuzzy synthetically evaluation model to schemes,the best is found and the mechanism movement diagram and three-dimensional diagram of the reasoning scheme is exported.By analyzed and test a practical example,it showed that MTSSD-CADES is very effective.…”
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Efficacy of pain management for cattle castration: A systematic review and meta-analysis by Emeline Nogues, Jane Stojkov, Biljana Jonoska Stojkova, Marina A.G. von Keyserlingk, Daniel M. Weary

“…Too few data were available to meaningfully assess other outcomes and methods. …”
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Framework for autonomous inspection of PV plants using IoT electronics on each PV panel and UAV collaboration by Miguel Tradacete-Ágreda, Carlos Santos-Pérez, Pablo José Hueros-Barrios, Francisco Javier Rodríguez-Sánchez, Rafael Pérez-Seguí, Javier Melero-Deza, Pascual Campoy

“…The inspection data is then relayed back to the IoT Modules, triggering appropriate actions. …”
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Typological Transcoding Through LoRA and Diffusion Models: A Methodological Framework for Stylistic Emulation of Eclectic Facades in Krakow by Zequn Chen, Nan Zhang, Chaoran Xu, Zhiyu Xu, Songjiang Han, Lishan Jiang

“…The stylistic emulation of historical building facades presents significant challenges for artificial intelligence (AI), particularly for complex and data-scarce styles like Krakow’s Eclecticism. This study aims to develop a methodological framework for a “typological transcoding” of style that moves beyond mere visual mimicry, which is crucial for heritage preservation and urban renewal. …”
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Robust Drone Video Analysis for Occluded Urban Traffic Monitoring Based on Deep Learning by Carlos Gellida-Coutino, Reyes Rios-Cabrera, Alan Maldonado-Ramirez, Anand Sanchez-Orta

“…Urban traffic management (UTM) relies on accurate vehicular flow data to optimize infrastructure and reduce congestion. …”
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Unveiling lives: A glimpse into the daily routines of individuals affected by leprosy in Malaysia using the walk-and-talk technique by Norana Abdul Rahman, Vaikunthan Rajaratnam, Ruth M. H. Peters, Mohamed Rusli Abdullah, Karen Morgan

“…Video documentation was used as a supplementary tool to capture non-verbal cues and contextual interactions. Visual, auditory, and field data were transcribed and thematically analysed using NVivo 12, revealing key themes, including resilience and perseverance, employment and economic sustenance, stigma, family support, and community engagement. …”
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Pengaruh Luas Penutupan Terumbu Karang Pada Lokasi Biorock dan Reef Seen Terhadap Keragaman Spesies Ikan di Wilayah Perairan Pemuteran, Bali <br><i>[Closure Area Effect On Reefs... by A. Shofy Mubarak, Destya Twinandia, Akhmad Taufiq Mukti

“…Research carried out by using the line transect method or Point Intercept Transect (PIT) with a direct enumeration technique Cencus Visual Method (VCM) and photo transects for data reef fish and coral reef data. …”
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Quality Improvement Arabic Education with Transformation of Arabic Learning Media by Umar Faruq, Ahmad Nurcholis, Muhammad Abdul Hamid, Muhamad Asngad Rudisunhaji, Siti Marpuah

“…Employing a qualitative approach, this study analyzed descriptive data in the form of speech or writing and the observable behavior of the research subjects. …”
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An Internet-of-Things-Integrated Deep Learning Model for Fault Diagnosis in Industrial Rotating Machines by Tuan M. Le, Hieu M. Tran, Ke Wang, Hung V. Pham, Son V. T. Dao

“…A mobile application provides an intuitive platform for visualizing and interacting with fault data. Moreover, several machine learning (ML) models are also utilized for comparison with the proposed method such as Random Forest (RF), Multilayer Perceptron (MLP), and Xtreme Gradient Boosting (XGBoost). …”
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Rapid video copy detection on compressed domain by ZHANG Yong-dong, ZHANG Dong-ming, GUO Jun-bo, TANG Sheng

“…To reduce the detection time efficiency under large scale data environment, a rapid algorithm was proposed on compressed domain using a two-level hierarchical detection scheme.The ordinal measures of DCT coefficients were adopted as visual features for similarity-matching in order to reduce the computational load in video decoding.Inverted indexing structure was used to accelerate the first level detection process.The experiment results show, compared with the previous algorithm, the algorithm can improve the detection speed obviously with the similar detection precision.…”
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Using high-frequency oscillations from brief intraoperative neural recordings to predict the seizure onset zone by Behrang Fazli Besheli, Zhiyi Sha, Jay R. Gavvala, Sacit Karamursel, Michael Quach, Chandra Prakash Swamy, Amir Hossein Ayyoubi, Alica M. Goldman, Daniel J. Curry, Sameer A. Sheth, David Darrow, Kai J. Miller, David J. Francis, Gregory A. Worrell, Thomas R. Henry, Nuri F. Ince

“…Results Our framework demonstrates a remarkable ability to eliminate pseudo-HFOs in heavily corrupted neural data, achieving accuracy levels comparable to those obtained through expert visual inspection. …”
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AI Dermatochroma Analytica (AIDA): Smart Technology for Robust Skin Color Classification and Segmentation by Abderrachid Hamrani, Daniela Leizaola, Nikhil Kumar Reddy Vedere, Robert S. Kirsner, Kacie Kaile, Alexander Lee Trinidad, Anuradha Godavarty

“…Traditional methods for skin color classification, such as visual assessments and conventional image classification, face limitations in accuracy and consistency under varying conditions. …”
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A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning by Zineb Maasaoui, Mheni Merzouki, Abdella Battou, Ahmed Lbath

“…Furthermore, Network Security Traffic Analysis Platform’s ability to produce actionable insights through charts, tables, histograms, and other visualizations underscores its capability in static analysis of traffic data. …”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

“…Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. …”
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