Article
Remote Sensing
Yuan Ding, Kai Cao, Weifeng Qiao, Hua Shao, Yingbao Yang, Hao Li
Summary: A whale optimization algorithm-based cellular automata model for urban expansion simulation was proposed in this research. The model effectively simulated the urban expansion process in Guangzhou and outperformed other representative CA models in terms of overall accuracy and computational efficiency.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Studies
Yan Zhang, Xia Chang, Yanfang Liu, Yanchi Lu, Yiheng Wang, Yaolin Liu
Summary: The study implemented an ecologically constrained urban expansion simulation model in Wuhan, China, based on an ordered weighted averaging operator aggregating multiple ecosystem services. Results indicate that incorporating constraints from ecosystem services is beneficial for ecological conservation, but excessive constraint intensity may lead to unintended consequences such as excessive loss of farmland and irregular urban patterns. A relatively softer constraint strategy was considered optimal for a win-win scenario between urban expansion and ecological conservation.
Article
Green & Sustainable Science & Technology
Saida Makhloufi, Smail Khennas, Sami Bouchaib, Amar Hadj Arab
Summary: This paper presents the most credible options to increase the share of renewable energy resource in the Algerian electricity power system by 2050, and uses the screening curve method and EnergyPlan tool for evaluation and estimation, while adopting the multi-objective cuckoo search algorithm to formulate the energy transition strategy.
Article
Computer Science, Information Systems
Tushar Kanta Samal, Sushree Chinmayee Patra, Manas Ranjan Kabat
Summary: The development of wireless body area networks (WBAN) has been widely applied in healthcare, fitness, entertainment, and sports, but energy efficiency and connectivity are major challenges in its design. This study proposes an adaptive cuckoo search algorithm for relay node placement in WBAN, aiming to achieve energy-efficient and reliable design.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Thermodynamics
Rangel G. Aredes, Andre L. Bonaventura, Renato Boschilia Junior, Ronaldo S. Silva, Eduardo Antonelli
Summary: Lead-free piezoelectric ceramics with perovskite structure can exhibit excellent properties when specific phase transitions sequences and/or coexistence of multiple phases are involved. However, characterizing these phase transitions using isolated techniques can be inconclusive or require complex procedures. This study aimed to explore the combination of different techniques to investigate temperature-induced phase transitions and phase coexistence in ceramics of 0.66Ba(Zr0.2Ti0.8)O-3-0.44(Ba0.7Ca0.3)TiO3 (0.44BCZT), revealing three phase transitions and confirming physical anomalies indicating phase coexistence.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Development Studies
Josef Novotny, Saurav Chakraborty, Indranil Maity
Summary: This article argues for the existence of global macro-patterns of urban change and growth. By examining the expansion of built-up land in major megacities across the globe between 1985 and 2015, the study identifies three sequential urban growth modes and proposes a model based on urban scaling laws to predict future growth.
HABITAT INTERNATIONAL
(2022)
Article
Computer Science, Artificial Intelligence
Dalia Yousri, Mohamed Abd Elaziz, Laith Abualigah, Diego Oliva, Mohammed A. A. Al-qaness, Ahmed A. Ewees
Summary: This study proposes an alternative method for classifying COVID-19 X-ray images by extracting informative features and using a new feature selection method, leveraging an enhanced cuckoo search optimization algorithm and four different heavy-tailed distributions. Experimental results show that the method can provide accurate results for both UCI and COVID-19 datasets.
APPLIED SOFT COMPUTING
(2021)
Article
Geography, Physical
Xuecao Li, Jie Zhang, Zhouyuan Li, Tengyun Hu, Qiusheng Wu, Jun Yang, Jianxi Huang, Wei Su, Yuanyuan Zhao, Yuyu Zhou, Xiaoping Liu, Peng Gong, Xi Wang
Summary: This study examines the influence of temporal contexts on CA-based urban growth modeling in Beijing over a long period. It shows that temporal factors, such as initial seeds and urban demands, have considerable impacts on model performance, suggesting the need for more research on temporal contexts in CA-based modeling for better understanding error propagation and uncertainty assessment.
GISCIENCE & REMOTE SENSING
(2021)
Article
Computer Science, Artificial Intelligence
Thanh Cuong-Le, Hoang-Le Minh, Samir Khatir, Magd Abdel Wahab, Minh Thi Tran, Seyedali Mirjalili
Summary: In this paper, a new Cuckoo search algorithm NMS-CS is proposed, which outperforms the original CS in convergence rate and accuracy by modifying the step mechanism. Through analysis of 23 benchmark functions, NMS-CS shows superior performance compared to CS. Furthermore, NMS-CS demonstrates good performance on engineering design problems.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Wenguan Luo, Xiaobing Yu
Summary: This paper discusses the importance of carbon neutrality in the task of social development and proposes a Reinforcement Learning-based Modified Cuckoo Search algorithm (RLMCS) to solve the economic dispatch problem. Experimental results demonstrate that RLMCS is more competitive and robust in solving standard and valve-point effects economic dispatch problems.
KNOWLEDGE-BASED SYSTEMS
(2022)
Review
Computer Science, Artificial Intelligence
Shuzhi Gao, Yue Gao, Yimin Zhang, Tianchi Li
Summary: The study proposed a self-adaptive multi-strategy cuckoo search algorithm (MSACS) for solving optimization problems, achieving the best results on 17 common benchmark functions and performing well on the remaining 11 functions. The improved algorithm was also successfully applied to optimizing a ball screw driving system model, reducing the peak acceleration of the screw and improving the reasonableness of the crank angle's peak acceleration.
APPLIED SOFT COMPUTING
(2021)
Article
Multidisciplinary Sciences
Yan Xiong, Ziming Zou, Jiatang Cheng
Summary: The cuckoo search algorithm based on cloud model effectively configures the step size factor and adapts to changing optimization problems. Simulation experiments show that this algorithm outperforms other CS and non-CS algorithms.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Artificial Intelligence
Xiangbo Qi, Zhonghu Yuan, Yan Song
Summary: Integrating heterogeneous biological-inspired strategies and mechanisms into one algorithm can avoid the shortcomings of single algorithm. The proposed integrated cuckoo search optimizer (ICSO) and multi-objective version MOICSO demonstrate the effectiveness of the integrated mechanism and the superior performance of the algorithm.
PEERJ COMPUTER SCIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Srihari Gude, Kartick Chandra Jana
Summary: In this paper, a multiagent system based cuckoo search optimization (MASCSO) algorithm is developed by combining a multiagent system (MAS) and cuckoo search optimization (CSO) to exploit the complementary nature of the MAS and CSO. The algorithm is applied to parameter estimation in photovoltaic (PV) systems and achieves significant improvements in accuracy.
APPLIED SOFT COMPUTING
(2022)
Article
Biotechnology & Applied Microbiology
Kalaipriyan Thirugnanasambandam, S. V. Sudha, D. Saravanan, Renjith V. Ravi, Dinesh Kumar Anguraj, R. S. Raghav
Summary: This paper discusses the quantification of fugitive methane emissions from Municipal Solid Waste, using a fusion of Gaussian dispersion model and reinforced cuckoo search optimization algorithm. Two case studies were conducted to demonstrate the significance of the proposed model, and the performance of the model under different parameter choices was analyzed using the Briggs model. The results show the significance of the proposed model in both single and multi-objective forms.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Computer Science, Information Systems
Guanghui Hu, Chun Wang, Sijin Li, Wen Dai, Liyang Xiong, Guoan Tang, Josef Strobl
Summary: This study discusses the method of terrain derivative calculations using TIN-based DEMs, emphasizing the importance of focusing on vertices. Comparative analysis reveals that the TIN vertex-based method performs best in accuracy, but results in error analysis for real landforms show mixed outcomes.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2022)
Article
Environmental Sciences
Sijin Li, Guanghui Hu, Xinghua Cheng, Liyang Xiong, Guoan Tang, Josef Strobl
Summary: The study proposes a novel deep learning-based strategy called TKCGAN to fill data voids in DEMs by incorporating topographic knowledge. The results show that TKCGAN outperforms other methods in filling voids and improving reconstruction accuracy.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geography
Haoran Wang, Haiping Zhang, Shangjing Jiang, Guoan Tang, Xueying Zhang, Lei Zhou
Summary: This paper constructs a cultural eigenvector based on the semantics of place names and proposes a measurement method to identify the cultural similarity between different cities, exploring and expressing similar patterns. The cultural semantic similarity flow defined in the form of OD flow formally expresses cultural relations between cities.
Article
Geography, Physical
Guanghui Hu, Liyang Xiong, Shuijing Lu, Jun Chen, Sijin Li, Guoan Tang, Josef Strobl
Summary: This study proposes a mathematical vector framework for calculating LSC based on TINs, which can enhance geoscience studies. Experimental results show that the TIN-based method outperforms grid-based DEM methods in landform classification.
GISCIENCE & REMOTE SENSING
(2022)
Article
Environmental Sciences
Sijin Li, Ke Li, Liyang Xiong, Guoan Tang
Summary: This study constructs a deep learning-based model to generate simulated terrain data with similar characteristics to loess landforms. The results show that the simulated data have similar elevation and slope probability distributions to the reference data, although there may be some inaccuracies in terrain details.
Article
Environmental Sciences
Kai Liu, Jiaming Na, Chenyu Fan, Ying Huang, Hu Ding, Zhe Wang, Guoan Tang, Chunqiao Song
Summary: This study proposes a large-scale approach for mapping tableland areas, and generates an accurate inventory of these areas on the Chinese Loess Plateau. The study finds that the tableland areas cover a total area of 9507.31 km(2), with cultivated land being the dominant land-use type. However, cultivated land has decreased by approximately 500 km(2) from 2000 to 2020, while forest and artificial surfaces have increased. Additionally, the study identifies 455 vulnerable hotspots that require particular attention.
Article
Green & Sustainable Science & Technology
Fei Tao, Guoan Tang, Yihao Wu, Tong Zhou
Summary: The urban system is a complex entirety composed of various subsystems, and the coordinated development of these subsystems is important for the advancement of new urbanization process. In this paper, a multi-index evaluation system was constructed to assess the degree of coordinated urbanization development. The study focused on the central area of the Yangtze River Delta and found that the coordinated urbanization development level had been improving over time. Economic urbanization had the greatest impact on coordinated urbanization development, while land urbanization had the least impact. Based on the findings, corresponding development countermeasures and path suggestions were proposed.
Article
Geography
Haoran Wang, Haiping Zhang, Guoan Tang, Lei Zhou, Shangjing Jiang
Summary: This article defines cultural eigenvectors to represent city cultural characteristics by mining the semantics of place names, and constructs a cultural semantic similarity network (CSSN) to recognize inter-city cultural association patterns. Using China as a case study, the study identifies four types of cultural hubs, four typical cultural belts, and 13 cultural circles.
TRANSACTIONS IN GIS
(2022)
Article
Geosciences, Multidisciplinary
Wen Dai, Wei Qian, Aili Liu, Chun Wang, Xin Yang, Guanghui Hu, Guoan Tang
Summary: This study presents a work frame for monitoring and modeling sediment transport in space using UAV-SfM photogrammetry. The use of precision map is found to be more suitable for topographic change detection. The multiple flow routing based on slope exponent shows superior performance in terms of spatially distributed sediment transport rates.
Article
Computer Science, Information Systems
Zhe Wang, LiYang Xiong, ZiYue Guo, WanQiu Zhang, Guo'An Tang
Summary: This study proposes a method to compute viewsheds using a new type of tree structure, the 'view-tree', which is faster and reduces error and omission rates compared to traditional methods.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2023)
Article
Engineering, Aerospace
Song Wu, Guoan Tang, Bifa Chen
Summary: This paper proposes a variable-gain control strategy using a reaction wheel actuator to suppress vibration of the solar array. By changing the gain coefficient, the damping effect of the system is improved. The effectiveness of the strategy is demonstrated through numerical simulation and experimental verification.
INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING
(2022)
Article
Geosciences, Multidisciplinary
Liyang Xiong, Sijin Li, Guoan Tang, Josef Strobl
Summary: Terrain is a crucial natural geographic feature that plays a significant role in physical processes. The fields of geomorphometry and terrain analysis have provided abundant topographic data and tools, which have contributed to the understanding of geomorphology, hydrology, soil science, and geographic information systems (GIS). Recent advancements in analysis theory, methods, data acquisition techniques, and analysis platforms have facilitated the interpretation of topographic characteristics and associated mechanisms and processes. Future directions include addressing challenges in data collection and construction, expanding the application of efficient analysis frameworks and tools, and integrating terrain analysis with other disciplines for cross-analysis purposes.
EARTH-SCIENCE REVIEWS
(2022)
Article
Geography, Physical
Hong Wei, Liyang Xiong, Fei Zhao, Guoan Tang, Stuart N. Lane
Summary: Loess landform variability is analyzed using an object-based image analysis method, which accurately classifies the landforms and describes their spatial variability. The study also investigates soil erosion and development patterns of the loess landscape using quantitative indicators and topographic interpolation techniques. The findings show that the classification method has a high accuracy and allows for effective determination of the spatial structure of loess landscapes. Furthermore, the study reveals a strong correlation between the developmental stage of the landforms and erosion-related indicators.
Article
Geosciences, Multidisciplinary
Junzhi Liu, Pengcheng Fang, Yefeng Que, Liang-Jun Zhu, Zheng Duan, Guoan Tang, Pengfei Liu, Mukan Ji, Yongqin Liu
Summary: This study constructed the first dataset of lake-catchment characteristics for 1525 lakes on the Tibetan Plateau, providing fundamental information for analyzing the impact of catchment-level characteristics on lake properties. The dataset includes six categories and a total of 721 attributes, and it can be used to deepen our understanding of the drivers of lake environment change and predict water and sediment properties in unsampled lakes.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Geography
Haiping Zhang, Xingxing Zhou, Guoan Tang, Xueying Zhang, Jing Qin, Liyang Xiong
Summary: A method for detecting colocation patterns and discovering spatial association rules based on flow data is proposed, which is validated by an artificial data set and applied to analyze tourist data, demonstrating its general applicability for mining colocation patterns and association rules from any type of OD flow data.
GEOGRAPHICAL ANALYSIS
(2022)
