Review
Chemistry, Multidisciplinary
Shicheng Liu, Ruidong Chang, Jian Zuo, Ronald J. Webber, Feng Xiong, Na Dong
Summary: The study shows that the interest in applying ANN in construction management research has significantly increased since 2015, with back-propagation being the most widely used algorithm. Integrated ANN with fuzzy logic/genetic algorithm was the most common approach to addressing CM problems. The primary research interests focus on cost, performance, and safety across a variety of application fields and research topics.
APPLIED SCIENCES-BASEL
(2021)
Review
Environmental Sciences
Junjie Li, Chunxing Li, Lixin Zhao, Xiaofang Pan, Guanjing Cai, Gefu Zhu
Summary: This review explores the use of nanomaterials such as Nanoscale Zero Valent Iron and Fe3O4 nanoparticles to enhance anaerobic digestion systems. The effects of different iron compounds on the system performance and stability are discussed, with a focus on the factors influencing treatment efficiency. The review provides valuable insights for establishing experimental systems and conducting future research in this area.
Article
Economics
Crina Anina Bejan, Dominic Bucerzan, Mihaela Daciana Craciun
Summary: This study investigates the relationship between Bitcoin price evolution and energy consumption tendency and finds a strong correlation between them.
Article
Computer Science, Information Systems
Ning Li, Liqun Li, Jichao Jiao, Wei Xu, Wangjing Qi, Xiaohu Yan
Summary: This paper introduces the existing methods for camouflage evaluation and analyzes the application scenarios, advantages, and disadvantages of each method, pointing out the future development trends.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Review
Gastroenterology & Hepatology
Bo Cao, Ke-Cheng Zhang, Bo Wei, Lin Chen
Summary: Artificial neural networks (ANNs) have been rapidly developed and applied in the field of gastrointestinal (GI) diseases, showing excellent performance in diagnosis, prognostic prediction, and treatment. Despite its shortcomings, efforts are being made in the medical community to address the limitations of ANNs and optimize their clinical potential.
WORLD JOURNAL OF GASTROENTEROLOGY
(2021)
Article
Chemistry, Multidisciplinary
JiHwan Lee, Seok Won Chung
Summary: Deep learning has been rapidly integrated into the field of medicine, specifically in orthopedics, showing outstanding performance in diagnosis. However, there are still areas, such as segmentation and prediction, that require further improvement. This review provides orthopedic surgeons with an overall understanding of artificial intelligence-based image analysis, while also discussing future directions for research in this field.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Civil
Pedram Pishgah Hadiyan, Ramtin Moeini, Eghbal Ehsanzadeh, Monire Karvanpour
Summary: This study investigates the performance of dynamic artificial neural network models in predicting the water inflow into the Sefidruod dam reservoir in Iran. The study analyzes the discharge time series of tributaries and tests for trend and homogeneity. The study also simulates and predicts the inflow discharges using dynamic Nonlinear Auto-Regressive models, and finds a significant decreasing trend in both rivers. The study concludes that the NAR model performs better than the NARX model in this case.
WATER RESOURCES MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Yi Cheng
Summary: Ecological agriculture preserves soil, water, and the climate, ensuring nutritious food and promoting biodiversity while prohibiting chemical inputs or hybrids. Future agricultural development should prioritize water resources, land, forests, biodiversity, infrastructure, research, technology transfer, investment, and unified management for significant changes in agriculture.
Article
Psychology, Multidisciplinary
Dahai Wang, Bing Li, Xuebo Yan
Summary: This article explores the complexity of financial market and economic growth and development trends and introduces the advantages of emotion recognition algorithm in analyzing and predicting these trends. Through research on statistical emotion recognition methods, the experiments demonstrate that the emotion recognition algorithm is viable and accurate for predicting financial market and economic growth and development trends.
FRONTIERS IN PSYCHOLOGY
(2022)
Review
Computer Science, Artificial Intelligence
Jia-Chi Wang, Yi-Chung Shu, Che-Yu Lin, Wei-Ting Wu, Lan-Rong Chen, Yu-Cheng Lo, Hsiao-Chi Chiu, Levent Ozcakar, Ke-Vin Chang
Summary: This study aimed to explore and summarize the performance of deep learning algorithms in the automatic sonographic assessment of the median nerve at the carpal tunnel level. The results showed that the deep learning algorithm enables automated localization and segmentation of the median nerve in ultrasound imaging with acceptable accuracy and precision. Future research should validate the performance of deep learning algorithms in detecting and segmenting the median nerve along its entire length and across datasets obtained from various ultrasound manufacturers.
ARTIFICIAL INTELLIGENCE IN MEDICINE
(2023)
Article
Chemistry, Multidisciplinary
Mustapha Mukhtar, Ariyo Oluwasanmi, Nasser Yimen, Zhang Qinxiu, Chiagoziem C. Ukwuoma, Benjamin Ezurike, Olusola Bamisile
Summary: This study develops two novel hybrid neural network models for accurate prediction of global solar radiation. Compared with traditional artificial neural network models, the hybrid models show better performance in different countries across Africa. The results of this study are of great significance for finding more accurate methods of solar radiation estimation.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Sung-Hwan Park, Hyung-Sup Jung, Sunmin Lee, Heon-Seok Yoo, Nam-Wook Cho, Moung-Jin Lee
Summary: In Korea, environmental impact assessments (EIA) are conducted to evaluate the impact of development projects on the environment, using EIA Big Data and GIS to analyze indicators related to air, soil, and water. A study from 2007-2016 showed an increasing trend in the environmental impact of development projects in South Korea, emphasizing the need for management agencies to apply calculation models to reduce these impacts.
APPLIED SCIENCES-BASEL
(2021)
Review
Computer Science, Artificial Intelligence
Aniket Nagargoje, Pavan Kumar Kankar, Prashant Kumar Jain, Puneet Tandon
Summary: This study reviews the extant literature relevant to incremental forming (IF) and highlights the application of artificial intelligence methods in solving IF-related problems. Various AI techniques have been used, and a few toolpath strategies have been developed using AI-based techniques.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Review
Computer Science, Artificial Intelligence
Amina N. Muhammad, Ali M. Aseere, Haruna Chiroma, Habib Shah, Abdulsalam Y. Gital, Ibrahim Abaker Targio Hashem
Summary: The purpose of smart cities is to improve resource utilization efficiency and enhance residents' quality of life, mainly optimizing city functions through data generated by IoT devices; recent attention has been given to the application of deep learning in smart cities, but there is currently no dedicated survey to showcase its progress and future directions.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Fengqiang Wu, Caijian Mo, Xiaojun Dai
Summary: Land use and land cover changes in Chongqing from 1999 to 2019 are analyzed, and the driving factors of urban land expansion are identified. Five significant factors, including population, distance from central city, school density, GDP, and distance from railway, are found to have a high impact on land use change. Areas with higher population density, closer distance to central city, higher GDP, and shorter distance from railway are found to have a greater impact on urban land use change. The predicted results show an increasing trend of urban land and decreasing trend of agricultural land in Chongqing.
