Predicting Energy and Emissions in Residential Building Stocks: National UBEM with Energy Performance Certificates and Artificial Intelligence by Carlos Beltrán-Velamazán, Marta Monzón-Chavarrías, Belinda López-Mesa

“…This study addresses the challenge by developing a national-scale urban building energy model (nUBEM) using artificial intelligence to predict non-renewable primary energy consumption and associated GHG emissions for residential buildings. …”
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Artificial intelligence can help individualize Wilms tumor treatment by predicting tumor response to preoperative chemotherapy by Ahmed Nashat, Ahmed Alksas, Rasha T. Aboulelkheir, Ahmed Elmahdy, Sherry M. Khater, Hossam M. Balaha, Israa Sharaby, Mohamed Shehata, Mohammed Ghazal, Salama Abd El-Wadoud, Ayman El-Baz, Ahmed Mosbah, Ahmed Abdelhalim

Subjects: “…artificial intelligence…”
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Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review by Ida Mohammadi, Shahryar Rajai Firouzabadi, Melika Hosseinpour, Mohammadhosein Akhlaghpasand, Bardia Hajikarimloo, Sam Zeraatian-Nejad, Peyman Sardari Nia

Subjects: “…Artificial Intelligence…”
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Wireless Radio Frequency Automation of Intelligent Optical Fiber Transmission System Based on the Differential Evolution Method by Lei Jin, Jinghong Zhao, Xing Huang, Bin Lu

“…In order to further analyze the performance of the intelligent optical fiber transmission process, the differential evolution analysis method is introduced in this paper, integrated architecture is built through the integrated optical and intelligent optical fiber, and the corresponding vector signal error value is solved through the comparison of transmission schemes. …”
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Hybrid Swarm Intelligence Optimization Approach for Optimal Data Storage Position Identification in Wireless Sensor Networks by Ranganathan Mohanasundaram, Pappampalayam Sanmugam Periasamy

“…To achieve this goal, an efficient swam intelligence approach is used to choose suitable positions for a storage node. …”
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Intelligent deep federated learning model for enhancing security in internet of things enabled edge computing environment by Nasser Nammas Albogami

“…Therefore, this paper develops an Intelligent Deep Federated Learning Model for Enhancing Security (IDFLM-ES) approach in the IoT-enabled edge-computing environment. …”
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Machines’ Intelligent Fault Diagnosis Based on Hierarchical Refined Composite Generalized Multiscale Fluctuation Dispersion Entropy by Biwen Chen, Changsheng Chen, Zhenlai Ma, Guoping Li, Yi Zhang, Baoyue Li

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A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem by Filip Vidojević, Andrijana Džamić, Dušan Džamić, Miroslav Marić

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Effects of Walking Pattern-Based Intelligent Electrical Stimulation on Outpatients with Stoke： A Randomized Controlled Study by HE Xuguang, SUN Wei, ZHOU Lu, HE Meiyan, WEI Ni

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Optimising artificial intelligence ultrasound tools in anaesthesiology and perioperative medicine: The next frontier for advanced technology application by Anastasia Jones, Ryan Tang, Anahita Dabo-Trubelja, Cindy B. Yeoh, Leshawn Richards, Vijaya Gottumukkala

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Validating a novel measure for assessing patient openness and concerns about using artificial intelligence in healthcare by Bryan A. Sisk, Alison L. Antes, Sunny C. Lin, Paige Nong, James M. DuBois

Subjects: “…artificial intelligence…”
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Swarm intelligence–based energy efficient clustering with multihop routing protocol for sustainable wireless sensor networks by Mohamed Elhoseny, R Sundar Rajan, Mohammad Hammoudeh, K Shankar, Omar Aldabbas

“…Clustering and routing processes are considered as an optimization problem in wireless sensor network which can be resolved by the use of swarm intelligence–based approaches. This article presents a novel swarm intelligence–based clustering and multihop routing protocol for wireless sensor network. …”
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Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence–powered Internet of Things by Banteng Liu, Wei Chen, Meng Han, Zhangquan Wang, Ping Sun, Xiaowen Lv, Jiaming Xu, Zegao Yin

“…The AD-SSNET is introduced as a reservoir based on the echo state network to improve the predictive capability of nonlinear time series, and combined with artificial intelligence method to construct the prediction model training samples. …”
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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

“…In this context, artificial intelligence application and its resources can serve as a powerful tool in analyzing large amounts of data and predicting cancer recurrence, potentially enabling personalized medical treatment and improving the patient’s quality of life. …”
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Research progress and prospect of intelligent prediction and disaster risk assessment of open-pit mining surface deformation by LI Hui, ZHU Wancheng, XU Xiaodong, SONG Qingwei, HAN Xiaofei, GENG Huikai

Subjects: “…artificial intelligence…”
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Retracted: Effects of Artificial Intelligence and Virtual Reality in Martial Arts Sports on Students’ Physical and Mental Health by International Transactions on Electrical Energy Systems

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THE USE OF ARTIFICIAL INTELLIGENCE IN THE THERAPEUTIC MANAGEMENT OF PAPILLARY THYROID MICROCARCINOMA: A RANDOMIZED CONTROLLED TRIAL PROTOCOL by Ramona Elena Teiu, Tudor Florin Ursuleanu, Hlescu Cristian Stefan, Roxana Grigorovici, Andreea Roxana Luca, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

Subjects: “…artificial intelligence…”
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Predictions for 2025: Artificial Intelligence in Modern Drug Development, Quantum Proof Encryption, and Health Data Monetization by Ingrid Vasiliu-Feltes MD, EMBA, Jennifer Hinkel, MSc, CHW, FRSA, Olga Kubassova, PhD

Subjects: “…artificial intelligence…”
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A Review on Covid-19 Detection Using Artificial Intelligence from Chest CT Scan Slices by Dhanshri M. Mali, S. A. Patil

Subjects: “…artificial intelligence…”
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Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis by Ramasamy Srinivasagan, Mohammed Shawky El Sayed, Mohammed Ibrahim Al-Rasheed, Ali Saeed Alzahrani

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