Article
Environmental Sciences
Zhibiao Hao, Yongsong Wang
Summary: The success of urban renewal projects is attributed to the synergistic development of economic, social, and environmental sustainability. This paper evaluates the success and sustainability of urban renewal projects based on the coupling coordination degree (CCD) of economic-social-ecological benefits. The study builds a coupling indicator system and measures the CCD of 15 urban renewal projects in Guangzhou, revealing differences in comprehensive benefit evaluation and regional CCD.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biodiversity Conservation
Xiaohong Chen, Fangyi Zhou, Dongbin Hu, Guodong Yi, Wenzhi Cao
Summary: The improved Coupling Coordination Degree Model (CCDM) objectively assigns contribution coefficients to subsystems based on game theory, avoiding subjective coefficient assignment in traditional models. In a case study of 11 provinces in the Yangtze River Economic Belt, the results show an increasing trend in the average coupling coordination degree (D), with room for improvement, and better performance in certain provinces, while poorer performance is mainly found in upstream regions.
ECOLOGICAL INDICATORS
(2022)
Article
Biotechnology & Applied Microbiology
Chong Ye, Lu Chen, Shiwei Ni, Jianhua Zhou
Summary: In this study, a model based on discrete particle swarm optimization was proposed to evaluate the comprehensive benefits of forest ecological economy. Experimental results showed that the model has better convergence, optimization performance, and practical application value.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Engineering, Chemical
L. Y. Yi, R. P. Zou, D. Pinson, K. J. Dong, A. B. Yu
Summary: This study assessed the applicability of three models for the coordination number in particle mixtures, finding that one model significantly differed from simulated results, while the other two models showed similar performance, but with reduced predictability as particle size differences increased.
Article
Environmental Sciences
Chunxia Zheng, Yawei Wu, Yanqing Lin, Yawen Zheng
Summary: In the face of the current situation of tourism and urban prosperity, the coordination between urban tourism and urban development is crucial for their sustainable development. Based on the statistics of twenty indicators in Xiamen from 2014 to 2018, this article uses the TOPSIS analysis method to study the coordination. The research results show that the selected indicators have significant growth characteristics and the coordination coefficient increases over time, approaching the ideal optimal value. The occurrence of significant events has a dual effect on the coordination between urban tourism and development.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biodiversity Conservation
Han Han, Li Guo, Jiquan Zhang, Kaize Zhang, Ningbo Cui
Summary: The study reveals that the coordination of the ERE system in the Beijing-Tianjin-Hebei urban agglomeration has improved over the past decade, primarily influenced by factors such as the percentage of secondary industry in GDP, land use patterns, and sewage treatment rates. The southern and eastern regions show relatively better coordination, while the northern and western regions perform poorly.
ECOLOGICAL INDICATORS
(2021)
Article
Agriculture, Multidisciplinary
J. G. O. Marques, R. de Oliveira Silva, L. G. Barioni, J. A. J. Hall, C. Fossaert, L. O. Tedeschi, F. Garcia-Launay, D. Moran
Summary: This study explores the trade-offs between environmental and economic factors in beef cattle feed formulation using multiobjective optimization. The results show that a combined strategy can effectively reduce greenhouse gas emissions in a cost-effective manner.
AGRICULTURAL SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Zhihui Sun, Yiqing Fan
Summary: A method of land use optimal allocation based on a mathematical model was proposed to scientifically and rationally utilize limited land resources amidst the increasing contradiction between man and land in rapid urban development. The proposed mathematical model achieved an overall accuracy of 86% and a Kappa coefficient of 0.81 in the experimental simulation using Wuhan city as an example, validating the feasibility of the model.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
(2021)
Article
Environmental Sciences
Dongying Sun, Miao Zhang, Donghwi Jung
Summary: Water resource shortage and pollution are critical issues in China, and regulating the water consumption and sewage discharge of industrial enterprises is an effective solution.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Ecology
Na Zheng
Summary: In this paper, an evaluation index system was constructed to standardize the evaluation of ecological economic benefit. The weight values of the index system were calculated using principal component analysis and analytic hierarchy process. The nonlinear coupling between social economic benefits and ecological environmental benefits was qualitatively analyzed. An ecological economic benefit evaluation model based on discrete mathematical algorithm was developed. The experimental results showed high accuracy in evaluating ecological economic benefit.
Article
Construction & Building Technology
Danning Zhang, Yang Chen
Summary: This study evaluates urban environmental sustainability and the coupling coordination degree among its dimensions in cities of Shandong Province in China. Results show that while urban environmental sustainability generally performed poorly due to lagging socioeconomic development, most cities showed developmental momentum under strict environmental regulations. However, the coordinated development of subsystems still needs improvement.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Biotechnology & Applied Microbiology
Xuesong Sun
Summary: In today's society, environmental sustainability has gained attention, with a focus on the concept of circular economy. The development of a circular economy aims to create a harmonious coexistence between man and nature through strengthening ecological environment and industries. By adapting measures to local conditions and utilizing resources for regional economic development, the goal is to contribute to the overall construction of a well-off society and achieve grand goals. Evaluations of resource input reduction, pollution emissions, ecological environment quality improvement, and socio-economic development level are essential for establishing a comprehensive evaluation system.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Oncology
Adam Keane, Ju-Fang Shi, Kate T. Simms, Yi-Jun Liu, Jie-Bin Lew, Carolyn Mazariego, Susan Yuill, Rui-Fang Wu, Zhi-Hua Liu, Fang-Hui Zhao, Jose Jeronimo, Karen Canfell, You-Lin Qiao
Summary: The research evaluated the effectiveness and cost-effectiveness of cervical cancer screening in urban China, finding that primary HPV testing is the most effective approach. The most cost-effective strategy identified was 5-yearly primary HPV testing for ages 25-65, which could reduce cervical cancer incidence rates to 6 per 100,000 over the long term.
CANCER EPIDEMIOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Milan Trifkovic, Miroslav Kuburic, Zarko Nestorovic, Goca Jovanovic, Milan Kekanovic
Summary: This paper investigates the connection between economic opportunities and health risk issues by introducing the relation between the gross domestic product of urban areas and the air quality index, called economic attractiveness of urban areas. The results show a negative correlation between gross domestic product and air quality index, indicating that higher GDP per capita is associated with lower air quality index, meaning better air quality. Additionally, the coefficient of economic attractiveness reveals that urban areas with the highest GDP do not necessarily have the highest attractiveness if the air quality index is higher.
Article
Operations Research & Management Science
Xu Xu, Yanbin Yang
Summary: This paper explores the application of blockchain technology in logistics port transportation and proposes a blockchain-based mathematical model for analyzing and optimizing logistics transportation. It calculates costs and establishes a functional relationship structure to discuss how blockchain can reduce costs, improve transparency, and solve transportation problems.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Software Engineering
Ankur Gupta, Purnendu Prabhat, Sahil Sawhney, Rajesh Gupta, Sudeep Tanwar, Neeraj Kumar, Mohammad Shabaz
Summary: Robotic Process Automation (RPA) is a new sub-domain of software-based automation that aims to alleviate tedious manual and repetitive tasks. It finds wide adoption across industries and domains, including academia and document processing. While RPA offers potential benefits in terms of efficient data collation and analysis, as well as operational efficiency, its long-term seamless operation requires significant software engineering effort.
Article
Engineering, Electrical & Electronic
Yusong Zhang, Mohammad Shabaz, Shehab Mohamed Beram
Summary: To address the problem of information leakage in online social networks, this study proposes a deterministic leaker tracking algorithm based on digital fingerprints. The algorithm embeds unique user-identifying information using plug-ins before users access digital media shared by others. Simulation experiments demonstrate that the proposed digital fingerprint fast detection scheme outperforms conventional linear search.
RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Preksha Sharma, Surbhi Gupta, Sonali Vyas, Mohammad Shabaz
Summary: This study describes the characteristics and applications of multiple deep learning models for object detection in pictures and videos, including convolutional neural networks, models based on region proposal, and models based on regression/classification. The study also explores the differences between these deep learning approaches and their weaknesses compared to prior models.
IET COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
S. Raghavendra, Dharmesh Dhabliya, Dipannita Mondal, Batyrkhan Omarov, Krishnan Sakthidasan Sankaran, Anishkumar Dhablia, Sushovan Chaudhury, Mohammad Shabaz
Summary: The Internet of Things (IoT) is a smart network that connects everything to the internet. Machine learning algorithms can help IoT devices learn and counter the growing network threats. This article presents a method for classifying intrusion data sets using feature selection and machine learning, with KNN and PCA showing better performance.
IET COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Sheng-li Xu, Tang Yeyao, Mohammad Shabaz
Summary: During the COVID-19 outbreak, information technology played a critical role in promoting global education. Online teaching had a positive impact on students' learning processes by providing rich learning resources and improving teachers' teaching techniques. The Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method proved to be an efficient tool for selecting teaching approaches.
Article
Computer Science, Information Systems
Ankur Gupta, Habib Ullah Khan, Shah Nazir, Muhammad Shafiq, Mohammad Shabaz
Summary: The metaverse promises immersive experiences, but privacy, security, and control issues must be resolved. This paper focuses on the security issues and enabling technologies/platforms in the metaverse. It also addresses the challenges faced by developers, service providers, and stakeholders, which, if ignored, could hinder adoption and appeal. Finally, ideas for building a viable Zero-Trust Architecture model for the metaverse are presented.
Article
Computer Science, Cybernetics
Ashima Kukkar, Dinesh Gupta, Shehab Mohamed Beram, Mukesh Soni, Nikhil Kumar Singh, Ashutosh Sharma, Rahul Neware, Mohammad Shabaz, Ali Rizwan
Summary: Diabetic retinopathy (DR) is a major cause of blindness in middle-aged people, and an Internet of Medical Things (IoMT) enabled computer-aided diagnostic (CAD) system can provide remote monitoring and diagnosis. This study aims to classify and diagnose DR using the IoMT-enabled CAD system to prevent blindness. A novel DR classification (DRC) system is designed by combining deep learning models with optimization algorithms.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
N. Achyutha Prasad, H. Chaitra, G. Manjula, Mohammad Shabaz, Ana Beatriz Martinez-Valencia, K. B. Vikhyath, Shrawani Verma, Jose Luis Arias-Gonzales
Summary: Wireless sensor networks face difficult design issues in terms of energy restrictions, dispersion radii, processing power limitations, buffers, bandwidth-limited connections, active network topologies, and network traffic outlines. The presence of relay motes reduces the number of hops and latency by directly interacting with relay motes closer to the destination mote. Extensive research has made wireless sensor networks (WSN) highly significant in the technical community and research field. WSN's task is to sense data using sensor motes, transmit it to the destination detection mote associated with a processing center for use in various Internet of Things (IoT) applications.
PHYSICAL COMMUNICATION
(2023)
Article
Multidisciplinary Sciences
Ismail Keshta, Pallavi Sagar Deshpande, Mohammad Shabaz, Mukesh Soni, Mohit Kumar Bhadla, Yasser Muhammed
Summary: Cancer is a major cause of death worldwide, and machine learning and artificial intelligence are used for early detection. However, the discrepancy between gene features and samples in microarray data sets poses a challenge. This study proposes a multi-stage algorithm for deep feature selection in biomedical research to address this issue.
SN APPLIED SCIENCES
(2023)
Article
Multidisciplinary Sciences
Malik Jawarneh, Jose Luis Arias-Gonzales, Dattatray P. Gandhmal, Rami Qays Malik, Kantilal Pitambar Rane, Batyrkhan Omarov, Cosmena Mahapatra, Mohammad Shabaz
Summary: Malignant growth in the liver leads to liver tumor, with primary and secondary liver disease being the most common types. Most malignant growths are benign tumors, causing essential liver disease. Combining various treatments is the only way to cure liver cancer. Machine learning, feature selection, and image processing provide an accurate detection framework, with image processing being a crucial component.
SN APPLIED SCIENCES
(2023)
Article
Computer Science, Theory & Methods
Ning Feng, Mohammad Shabaz, Mohamed A. Elashiri, Jose Luis Arias-Gonzales, Sushovan Chaudhury, Miami Abdul Aziz Al-Masoudy, Oluwadare Joshua Oyebode
Summary: The author suggests utilizing computer technology and data mining in intelligent engineering management to enhance project management capacity and reduce construction costs. This is primarily focused on theoretical and analytical approaches, possibly combined with conventional tools, and their applications to engineers and managers in various industries. The author developed a BIM project management system based on different architectures, which effectively improves project management ability, reduces construction expenses and duration, and demonstrates quick responsiveness.
INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING
(2023)
Article
Multidisciplinary Sciences
Praveen Kumar Kollu, Manoj L. Bangare, P. Venkata Hari Prasad, Pushpa M. Bangare, Kantilal Pitambar Rane, Jose Luis Arias-Gonzales, Sachin Lalar, Mohammad Shabaz
Summary: Food instability is associated with various health issues, and the use of IoT and machine learning can improve the predictability and precision of agriculture production. This article presents a precision agriculture fertilizer recommendation system based on IoT and multilinear regression, achieving an accuracy of 99.3%.
SN APPLIED SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Mukesh Soni, Mohammad Shabaz, Renato R. Maaliw, Ismail Keshta, Rasool Altaee, Sanju Das
Summary: The healthcare industry is adopting low-cost solutions that utilize non-invasive sleep monitoring system to improve patient care and provide healthcare decision-makers with real-time intelligence. The system records breathing and apnea using a pressure-sensitive sensor belt, transmits the data wirelessly to a mobile device, and can display real-time waveforms and upload data to a cloud platform. The system utilizes a piezoresistive sensor for accurate measurements.
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS
(2023)
Article
Computer Science, Cybernetics
Mukesh Soni, Nikhil Kumar Singh, Pranjit Das, Mohammad Shabaz, Piyush Kumar Shukla, Partha Sarkar, Shweta Singh, Ismail Keshta, Ali Rizwan
Summary: Traditional classification algorithms have difficulty correctly categorizing hypertensive retinopathy (HR) lesions due to their lack of obvious characteristics. To address this issue, a regional IoT-enabled federated learning-based HR categorization approach (IoT-FHR) is proposed, incorporating global and local attributes. The local feature arterial and venous nicking (AVN) classification model is fused with the overall IoT-FHR classification model to enhance its effectiveness. An intersection detection algorithm is suggested for the AVN classification. Experimental results demonstrate that the suggested model outperforms the currently used methods when compared to a single-stage classification model.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Automation & Control Systems
Altaf Hussain, Samee Ullah Khan, Noman Khan, Mohammad Shabaz, Sung Wook Baik
Summary: The integration of artificial intelligence (AI) into human activity recognition (HAR) in smart surveillance systems has the potential to revolutionize behavior monitoring, improving security and surveillance measures. A proposed AI-based behavior biometrics framework is introduced, utilizing a dynamic attention fusion unit (DAFU) and temporal-spatial fusion (TSF) network to effectively recognize human activity in surveillance systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)