Research on the Application of Deep Learning Technology Oriented to the Construction and Innovation of Smart City Image Cognition by Dan Shi, Lixin Song

“…At the same time, this research is used to answer the development dilemma of big data, summarize the development trend of big data, and explore the new changes that artificial intelligence brings to urban planning. The experimental results show that the model we designed efficiently evaluates the image of the city and can also effectively recognize the image of the city in the main urban area of Chongqing.…”
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Electroanalytical Methods as a Tool for Determining the Antioxidant Capacity in Blood Samples by Fernanda Gonçalves de Oliveira, Thiago da Silveira Alvares, Rodrigo de Siqueira Melo

“…Innovations such as portable devices and integration with artificial intelligence promise to further enhance accessibility and treatment personalization, despite the challenges involved in device cost and standardization. …”
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Transformative Gamified Binocular Therapy for Unilateral Amblyopia in Young Children: Pilot Prospective Efficacy and Safety Study by Wenqing Zhu, Shuneng Gu, Jian Li, Jin Lin, Chanling Hu, Rui Liu

“…The therapy used a roguelike shooting game delivered under binocular conditions through two independent channels with a real-time artificial intelligence visual engine. Assessments of distance visual acuity (DVA), near visual acuity (NVA), and SA were conducted at baseline and again at 4, 8, and 12 weeks. …”
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Welcome Note by Faisal Masud Faisal Masud

“…Fast-changing paradigms of each sub-specialty of Medicine, the ever-increasing role of Artificial-Intelligence (AI), the importance of data mining, and complex misinformation (infodemic) call for a further refined approach to curriculum. …”
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State of the Art in Automated Operational Modal Identification: Algorithms, Applications, and Future Perspectives by Hasan Mostafaei, Mahdi Ghamami

“…Techniques based on machine learning (ML), deep learning (DL), and artificial intelligence (AI) are explored for their ability to automate feature extraction, classification, and decision making in large-scale SHM systems. …”
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Concept of agroedutourism based on smart farming in integrated farming systems by Sumiasih Inanpi Hidayati, Puspitawati Mutiara Dewi, Yadarabullah Yadarabullah

“…Next, the development of an artificial intelligence system was carried out and implemented on a scale of agroedutourism in vegetable crops in greenhouses, compost fertilizer from the cultivation of star fruit commodities, and biofloc fisheries systems. …”
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Dynamic simulation of breast behaviour during different activities based on finite element modelling of multiple components of breast by Jiazhen Chen, Zejun Zhong, Yue Sun, Joanne Yip, Kit-lun Yick

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Learning model combined with data clustering and dimensionality reduction for short-term electricity load forecasting by Hyun-Jung Bae, Jong-Seong Park, Ji-hyeok Choi, Hyuk-Yoon Kwon

“…It has evolved from statistical methods to artificial intelligence-based techniques that use machine learning models. …”
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An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Artificial intelligence (AI), particularly through advanced large language model (LLM) technologies, is reshaping coal mine safety assessment methods with its powerful cognitive capabilities. …”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…We provide a detailed review comprising the most significant methods for both heavy and lightweight two-dimensional (2D) semantic segmentation, starting with the introduction of convolutional neural networks until the use of Transformer architecture, the latter being a widely adopted model with state-of-the-art results in several artificial intelligence fields. The methods involved are described from the architectural design perspective, including encoder-decoder architectures, multi-resolution branches approaches, two-pathway encoder architectures, attention-based models, and pyramid-based models. …”
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An overview of smart agriculture using internet of things (IoT) and web services by Vijaya Choudhary, Paramita Guha, Giovanni Pau, Sunita Mishra

“…IoT integrates wireless sensor networks, artificial intelligence, and cloud computing to boost productivity while minimizing costs and losses. …”
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“Tele-everything” world and hybrid office model – new global trends after the COVID-19 pandemic by E. V. Vasilieva

“…A number of measures have been proposed to monitor and improve the resource status of staff in organisations, including the use of computer systems that can conduct real-time assessments of employee performance and engagement based on artificial intelligence technologies.…”
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ECG-based transfer learning for cardiovascular disease: A scoping review by Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab Aziz

“…Advancements in medical diagnosis using artificial intelligence have popularised transfer learning among researchers in machine learning and deep learning. …”
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Towards Transparent Diabetes Prediction: Combining AutoML and Explainable AI for Improved Clinical Insights by Raza Hasan, Vishal Dattana, Salman Mahmood, Saqib Hussain

“…This study integrates Automated Machine Learning (AutoML) with Explainable Artificial Intelligence (XAI) to improve diabetes risk prediction and enhance model interpretability for healthcare professionals. …”
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Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran by Shahab MohammadEbrahimi, Mohammad Dehghan, Behzad Kiani

“…Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions. …”
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Volatile Organic Compounds for the Prediction of Lung Cancer by Using Ensembled Machine Learning Model and Feature Selection by Divya Khanna, Arun Kumar, Shahid Ahmad Bhat

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A Reinforcement Learning-Based Dynamic Clustering of Sleep Scheduling Algorithm (RLDCSSA-CDG) for Compressive Data Gathering in Wireless Sensor Networks by Alaa N. El-Shenhabi, Ehab H. Abdelhay, Mohamed A. Mohamed, Ibrahim F. Moawad

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Multigraph-based Deep Programming Ability Tracing Method for Students by Yue Wang, Guanwen Zhang

“…Programming has become a crucial ability with the development of artificial intelligence, making it increasingly important to track and improve programming proficiency of students. …”
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Control of Discrete Event Systems by Means of Discrete Optimization and Disjunctive Colored PNs: Application to Manufacturing Facilities by Juan-Ignacio Latorre-Biel, Emilio Jiménez-Macías, Mercedes Pérez de la Parte, Julio Blanco-Fernández, Eduardo Martínez-Cámara

“…Artificial intelligence methodologies, as the core of discrete control and decision support systems, have been extensively applied in the industrial production sector. …”
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Temperature and Humidity Monitoring in Hydroponic Cultivation Based on Internet of Things: Dataset Development for Smart Agriculture by Simon Prananta Barus, Jeriko Ichtus Seo

“…Further research will integrate more monitoring parameters, conduct direct hydroponic cultivation trials, and apply artificial intelligence such as machine learning and deep learning to improve efficiency and effectiveness in hydroponic cultivation.…”
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