MATERIALITY LEVEL ACCOUNTING UNDER BUSINESS REPUTATION ASSESSMENT BY FUTURE DISCOUNT CASHFLOW TECHNIQUE by Natalia Anatolyevna Anikina, Lyudmila Veniaminovna Myasoyedova

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Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images by Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez Baig, Sengul Dogan, Mehmet Baygin, Turker Tuncer, U. R. Acharya

“…This work aims to develop a novel convolutional neural network (CNN) named ResNet50* to detect various gastrointestinal diseases using a new ResNet50*-based deep feature engineering model with endoscopy images. …”
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Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information by Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe

“…The Probabilistic U-Net was chosen for this study due to its capability of simulating and quantifying the uncertainties involved in the prediction of WMH evolution. …”
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Diseño óptimo multiobjetivo y planificación del proceso de fabricación (CAD/CAPP) de redes de conductos de climatización // Optimal design and planning of the manufacturing process... by A. Cordovés García, C. J. Arzola Ruíz, J. R. Hechavarría Hernández, M. R. Fernández Peña

“…<br />The geometrical and dimensional information of all the elements of the net, as well as their necessity, is transferred<br />automatically from the CAD section to the CAPP section (process planning), which is used to organize the material final<br />cutting, either by means of conventional methods or through CNC, depending on the user’s technological availability.…”
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A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

“…However, traditional remote sensing data can hardly balance spatial and spectral resolution, resulting in the inability to simultaneously obtain high-resolution spatial distribution of SOC and detailed spectral features, thus restricting the comprehensive resolution of soil detail information. To address this challenge, we propose an innovative multimodal remote sensing data integration framework, ResoCroS-Net, which integrates ground (soil samples), air (unmanned aerial vehicle (UAV) images), and space (satellite images) data, realized effective integration of multimodal data at different resolutions, with particular innovations in hierarchical design and data-processing logic. …”
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Analysis of content, credibility, and reliability of information on chronic obstructive pulmonary disease treatment in YouTube™ videos: a cross-sectional observational study by Ana Luíza da Silva Nunes Teixeira Rodrigues, Vanessa Kelly da Silva Lage, Redha Taiar, Joyce Noelly Vitor Santos, Laisa Braga Maia, Jousielle Márcia dos Santos, Vinícius Cunha Oliveira, Ana Cristina Rodrigues Lacerda, Vanessa Amaral Mendonça

“…YouTube can often be used to share information about treatments for chronic diseases like COPD; however, the credibility of such information may not be adequate. …”
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Finding a model for contrastive lexical semantics: A look at verbal communication verbs by Åke Viberg

“…Primarily two groups of English verbs and their Swedish correspondents will be analyzed: (1) Information verbs such as tell, inform, notify, report, narrate and describe and (2) Speech activity verbs such as talk, speak, chat, converse, gossip, discuss, debate, negotiate and bargain. …”
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A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

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Predicting the diabetic foot in the population of type 2 diabetes mellitus from tongue images and clinical information using multi-modal deep learning by Zhikui Tian, Dongjun Wang, Xuan Sun, Chuan Cui, Hongwu Wang

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Advancing Neural Networks: Innovations and Impacts on Energy Consumption by Alina Fedorova, Nikola Jovišić, Jordi Vallverdù, Silvia Battistoni, Miloš Jovičić, Milovan Medojević, Alexander Toschev, Evgeniia Alshanskaia, Max Talanov, Victor Erokhin

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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

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GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

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FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection by Xin Hu, Xiyu Wang, Yashu Chang, Jian Xiao, Hongliang Cheng, Firdaousse Abdelhad

“…To address the complexities of crane hook operating environments, the challenges faced by large-scale object detection algorithms on edge devices, and issues such as frame rate mismatch causing image delays, this paper proposes a faster, lighter, and more efficient object detection algorithm called FLE-YOLO. Firstly, the FasterNet is used as the backbone for feature extraction, and the Triplet Attention mechanism is integrated to effectively emphasize target information while maintaining network lightweightness effectively. …”
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Towards a model for integrating process verification in process-driven application development by Nguyễn Thanh Tuấn, Lê Thành Nhân, Hoàng Thị Thanh Hà

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Colony-YOLO: A Lightweight Micro-Colony Detection Network Based on Improved YOLOv8n by Meihua Wang, Junhui Luo, Kai Lin, Yuankai Chen, Xinpeng Huang, Jiping Liu, Anbang Wang, Deqin Xiao

“…Firstly, the lightweight backbone network StarNet is employed, aiming to enhance feature extraction capabilities while reducing computational complexity. …”
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Rice Variety Identification Based on Transfer Learning Architecture Using DENS-INCEP by Wahyudi Agustiono, Kurniawan Eka Permana, Caroline Chan, Deshinta Arrova Dewi, Moch. Miftachur Rifqi Al Husain

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Influencing factors of self-reported near-miss in clinical nursing information system tasks among nurses: a multicenter cross-sectional study by Xingyao Du, Haoning Shi, Ying Peng, Siqi Jiang, Jingyan Song, Chunni Wang, Lin Li, Mingzhao Xiao, Qinghua Zhao, Huanhuan Huang

“…Logistic regression analysis revealed that nurses’ professional titles, information management competency, work intensity, clinical teaching, system net benefits, and workplace interruptions were influencing factors for the occurrence of near-miss events in nursing information systems. …”
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Modelo econômico para determinação do tempo de reposição na irrigação por sulco Economic model for determination of wetting phase time in furrow irrigation by Carmello C. Machado, Flávio F. Blanco, José A. Frizzone, Rubens D. Coelho, Marcos V. Folegatti

“…This work presents a methodology to quantify the economic irrigation time for furrow irrigation, based on the net income optimization. The proposed methodology may be applied for any crop based on: a) the water-yield function for the growing season, b) duration of each phenological phase with respective Kc values, c) information about the costs involved in the cultivation process. …”
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Investigating lung cancer microenvironment from cell segmentation of pathological image and its application in prognostic stratification by Xu Zhang, Zi-Han Zhang, Yong-Min Liu, Shi-Lei Zhao, Xu-Tong Zhao, Li-Zhi Zhang, Chun-Dong Gu, Yi Zhao

“…Pathological images contain abundant diagnostic information, providing a new avenue for prognostic evaluation. …”
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