Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Hong-Liang Dai"'
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37360- (2024)
Effort-aware just-in-time software defect prediction (JIT-SDP) aims to effectively utilize the limited resources of software quality assurance (SQA) to detect more software defects. This improves the efficiency of SQA work and the quality of the soft
Externí odkaz:
https://doaj.org/article/43a447933f274be1a092ce1ab50a4e1c
Autor:
Ze-Chong Guo, Min-Hua Cui, Chun-Xue Yang, Hong-Liang Dai, Tong-Yi Yang, Lin-Zhi Zhai, Yong Chen, Wen-Zong Liu, Ai-Jie Wang
Publikováno v:
Environmental Science and Ecotechnology, Vol 20, Iss , Pp 100410- (2024)
Energy recovery from low-strength wastewater through anaerobic methanogenesis is constrained by limited substrate availability. The development of efficient methanogenic communities is critical but challenging. Here we develop a strategy to acclimate
Externí odkaz:
https://doaj.org/article/c4c635b03b044c8a97211278767a8d43
Autor:
Rana Muhammad Zulqarnain, Hong-Liang Dai, Wen-Xiu Ma, Imran Siddique, Sameh Askar, Hamza Naveed
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32145- (2024)
Fuzzy hybrid models are efficient mathematical tools for managing unclear and vague data in real-world scenarios. This research explores the q-rung orthopair fuzzy soft set (q-ROFSS), which presents incomplete and ambiguous details in decision-making
Externí odkaz:
https://doaj.org/article/e09236e959e448cd96f1c20f3ad5360f
Autor:
Rana Muhammad Adnan, Payam Khosravinia, Ozgur Kisi, Mohammad Reza Nikpour, Hong-Liang Dai, Mazyar Osmani, Seyyede Aniseh Ghazaei
Publikováno v:
Applied Water Science, Vol 14, Iss 3, Pp 1-16 (2024)
Abstract This study investigates the viability of a strong algorithm (PSOGSA) merging particle swarm optimization (PSO) and gravity search algorithm (GSA) in tuning adaptive neuro-fuzzy system (ANFIS) parameters for modeling dimensionless experimenta
Externí odkaz:
https://doaj.org/article/6caf11d3868f49caa9c50ab468b7dbb1
Autor:
Rana Muhammad Adnan, Hong-Liang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Salim Heddam, Mohammad Zounemat-Kermani
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
The accurate assessment of groundwater levels is critical to water resource management. With global warming and climate change, its significance has become increasingly evident, particularly in arid and semi-arid areas. This study compares new extrem
Externí odkaz:
https://doaj.org/article/ffbc3d501f0544369ebf662545d1f0db
Autor:
Rana Muhammad Adnan, Reham R. Mostafa, Hong-Liang Dai, Salim Heddam, Alban Kuriqi, Ozgur Kisi
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 17, Iss 1 (2023)
This study investigates the feasibility of a relevance vector machine tuned with improved Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using limited climatic input data (e.g. temperature). The accuracy of the RVM-
Externí odkaz:
https://doaj.org/article/5fb68130d51b4822b659e4decb8c2a66
Autor:
Rana Muhammad Adnan, Hong-Liang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Ahmed Elbeltagi, Mohammad Zounemat-Kermani
Publikováno v:
Applied Water Science, Vol 13, Iss 5, Pp 1-24 (2023)
Abstract Accurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood forecasting, and best
Externí odkaz:
https://doaj.org/article/e5262f88d3ce4c7bb4c9da78a107145d
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 10, Pp 102168- (2023)
Drought modeling is vital for designing and managing water resource systems due to its significant effects on agriculture and other components of the environment. This study evaluates the prediction accuracy of two newly developed heuristic methods,
Externí odkaz:
https://doaj.org/article/87b477b7dc0c49bc9511594215296e80
Autor:
Rana Muhammad Adnan Ikram, Hong-Liang Dai, Ahmed A. Ewees, Jalal Shiri, Ozgur Kisi, Mohammad Zounemat-Kermani
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 12063-12080 (2022)
For better estimation of renewable environmental friendly and carbon-free energy resources, precise prediction of solar energy is very essential. However, accurate prediction of solar energy is a challenging task due to its fluctuations and due to cl
Externí odkaz:
https://doaj.org/article/2be5018d43f5441f94f4b8745ce96883
Publikováno v:
Measurement + Control, Vol 55 (2022)
The probability of electric vehicle rollover accident can be effectively reduced by shortening the prediction time interval and improving the prediction accuracy. Based on a multilayer neural network, an improved time-to-rollover method is presented
Externí odkaz:
https://doaj.org/article/625c7c3da02747449f25c64928da8b2d