Tecnologia: novas abordagens, conceitos, dimensões e gestão Technology: news approaches, concepts, dimensions and management by José Carlos Teixeira da Silva

“…These concepts allow to analyze strategic and operational aspects of technology management. A preliminary field research has detected limited capability in organizations with respect the components of microtecnology and macrotechnology.…”
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AI-driven orchard management: Advancing sustainable apple production through convolutional neural network recognition by Karabanov Georgy, Ricardo Oke Olouafemi, Krakhmalev Alexey

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Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Mette Sagbakken, Ahmed Ghannam, Fuad H. Abuadas, Joel Somerville, Joel Somerville, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair, Abbas Al Mutair

“…Despite its promising potential in enhancing nursing education, clinical practice, and operational efficiency, critical barriers related to ethics, workforce adaptation, and humanistic care persist.AimThis integrative review systematically evaluates the integration of AI in nursing practice, with a specific focus on nursing education, clinical care, workload management, and professional perceptions.MethodsGuided by PRISMA 2020 and the SPIDER framework, a thematic synthesis was conducted. …”
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Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning by Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha

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Meta-Learning-Based LSTM-Autoencoder for Low-Data Anomaly Detection in Retrofitted CNC Machine Using Multi-Machine Datasets by Ji-Min Woo, Seong-Hyeon Ju, Jin-Hyeon Sung, Kyung-Min Seo

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Loosening rocks detection at Draa Sfar deep underground mine in Morocco using infrared thermal imaging and image segmentation models by Kaoutar Clero, Said Ed-Diny, Mohammed Achalhi, Mouhamed Cherkaoui, Imad El Harraki, Sanaa El Fkihi, Intissar Benzakour, Tarik Soror, Said Rziki, Hamd Ait Abdelali, Hicham Tagemouati, François Bourzeix

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Low-Power Branch CNN Hardware Accelerator with Early Exit for UAV Disaster Detection Using 16 nm CMOS Technology by Yu-Pei Liang, Wen-Chin Chao, Ching-Che Chung

“…The proposed B-CNN hardware accelerator is implemented using TSMC 16 nm CMOS technology, incorporating power gating techniques to manage memory power consumption. Post-layout simulations demonstrate that the proposed hardware accelerator operates at 500 MHz with a power consumption of 37.56 mW. …”
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Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways by Kushal Kumar Raju, B. Prahal Bhagavath, M. K. Nallakaruppan, Rajesh Kumar Dhanaraj, Soufiane Ben Othman, Obaid Ali

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Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems. by Mirco Boschetti, Francesco Nutini, Giacinto Manfron, Pietro Alessandro Brivio, Andrew Nelson

“…Identifying managed flooding in paddy fields is commonly used in remote sensing to detect rice. …”
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Integrating SEResNet101 and SE-VGG19 for advanced cervical lesion detection: a step forward in precision oncology by Yan Ye, Yuanyuan Chen, Jiajia Pan, Peipei Li, Feifei Ni, Haizhen He

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Hybrid Machine Learning-Based Fault-Tolerant Sensor Data Fusion and Anomaly Detection for Fire Risk Mitigation in IIoT Environment by Jayameena Desikan, Sushil Kumar Singh, A. Jayanthiladevi, Shashi Bhushan, Vinay Rishiwal, Manish Kumar

“…Additionally, uncertainty measurements using Hellinger and Deng entropy, along with Dempster–Shafer Theory, enable the integration of conflicting sensor inputs and enhance decision-making in fire detection. This approach improves decision-making by managing sensor discrepancies and provides a reliable solution for real-time fire predictions, even in the presence of faulty sensor readings, thereby mitigating the fire risks in IIoT environments.…”
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The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years by Tria Astika Endah Permatasari, Yudi Chadirin, Ernirita Ernirita, Anisa Nurul Syafitri, Devina Alifia Fadhilah

“…It accurately detected children at risk of stunting with an AUC of 89.6%. …”
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Precision Oral Medicine: A DPR Segmentation and Transfer Learning Approach for Detecting Third Molar Compress Inferior Alveolar Nerve by Yuan-Jin Lin, Shih-Lun Chen, Yi-Cheng Mao, Tsung-Yi Chen, Cheng-Hao Peng, Tzu-Hsiang Tsai, Kuo-Chen Li, Chiung-An Chen, Wei-Chen Tu, Patricia Angela R. Abu

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Risk Management of Import and Export Products Based on Big Data Analysis: Assessment Model with IndetermSoft Set by Ling Chen, Chunpeng Liu

“…The integration of big data analytics into risk evaluation processes has revolutionized the ability to detect, assess, and mitigate potential threats across international trade operations. …”
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Water Hyacinth Invasion and Management in a Tropical Hydroelectric Reservoir: Insights from Random Forest and SVM Classification by Luis Fernando Correa-Mejía, Yeison Alberto Garcés-Gómez

“…The findings underscore the importance of continuous monitoring and adaptive management strategies to mitigate the ecological and economic impacts of water hyacinth in the Hidroituango reservoir and similar environments.…”
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Cooperative Graph-Based Predictive Collision Avoidance (CGPCA): A Decentralized Framework for Safe Drone Traffic Management by Fariborz Rasoulie

“…Cooperative Graph-based Predictive Collision Avoidance (CGPCA) is a novel, decentralized approach designed to manage and control drone traffic while preventing collisions with both other drones and surrounding obstacles. …”
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Dynamic Sensor-Based Data Management Optimization Strategy of Edge Artificial Intelligence Model for Intelligent Transportation System by Nu Wen, Ying Zhou, Yang Wang, Ye Zheng, Yong Fan, Yang Liu, Yankun Wang, Minmin Li

“…By adopting node and sensor management mechanisms as well as efficient communication protocols, dynamic sensor-based data management of AI algorithm models was achieved, such as pedestrian object recognition, vehicle object detection, and ship object positioning. …”
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Integrating type-2 fuzzy logic controllers with digital twin and neural networks for advanced hydropower system management by Yali Zeng, Zahraa Abed Hussein, Mustafa Habeeb Chyad, Amirfarhad farhadi, Jianyong Yu, Hesam Rahbarimagham

“…This paper presents a novel approach that integrates Type-2 Fuzzy Logic Controllers (T2FLC), Digital Twin technology, and Neural Networks for comprehensive management of hydropower systems. The proposed hybrid system aims to improve load management, fault detection, and operational efficiency. …”
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An M-DeepSORT Algorithm for Pedestrian Detection and Tracking Based on Video Images – A Case Study in Ji-nan Subway Station by Wei ZHANG, Chuang ZHU, Yunchao QU, Guanhua LIU, Der-Horng LEE

“…However, the increasing complexity of passenger flows within subway stations poses challenges to operations management. To optimise subway operations and enhance safety, researchers focus on extracting and analysing pedestrian trajectories within subway stations. …”
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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

“…The research is based on methods and algorithms for solving management problems in organizational systems.Result. …”
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