|
|
|
|
|
Mayola Fernandes, Arun Sherkar, Seema Zagade
|
|
|
|
|
|
|
|
|
|
|
Nitesh Awasthi, Jayant Nath Tripathi, George P. Petropoulos, Pradeep Kumar, Abhay Kumar Singh, Kailas Kamaji Dakhore, Kripan Ghosh, Dileep Kumar Gupta, Prashant K. Srivastava, Kleomenis Kalogeropoulos, Sartajvir Singh and Dhiraj Kumar Singh
This study involved an investigation of the long-term seasonal rainfall patterns in central India at the district level during the period from 1991 to 2020, including various aspects such as the spatiotemporal seasonal trend of rainfall patterns, rainfal...
ver más
|
|
|
|
|
|
|
|
|
|
|
Niousha Ghannad and Kalpdrum Passi
Currently, video and digital images possess extensive utility, ranging from recreational and social media purposes to verification, military operations, legal proceedings, and penalization. The enhancement mechanisms of this medium have undergone signifi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mikel Labayen, Laura Medina, Fernando Eizaguirre, José Flich and Naiara Aginako
The automation of railroad operations is a rapidly growing industry. In 2023, a new European standard for the automated Grade of Automation (GoA) 2 over European Train Control System (ETCS) driving is anticipated. Meanwhile, railway stakeholders are alre...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq and Seyedali Mirjalili
Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianhe Li, Weizhe Sun, Guoshao Su and Yan Zhang
The geomechanical parameters in underground engineering are usually difficult to determine, which can pose great obstacles in underground engineering. A novel displacement back-analysis method is proposed to determine the geomechanical parameters in unde...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yutai Yang, Weizhe Sun and Guoshao Su
Aiming at the characteristics of high computational cost, implicit expression and high nonlinearity of performance functions corresponding to large and complex structures, this paper proposes a support-vector-machine- (SVM) based grasshopper optimization...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mamoon M.D. Al-Rshaidat, Anne Segonds-Pichon and Mohamed Salem
Data are reported for an inland artificial lagoon (Ayla) to evaluate the impact of the lagoon?s modeled design and water replenishment system on its water quality and the coastal ecosystem. This study focused on Ayla?s upper lagoon (UL) only, due to its ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hossein Moayedi, Bahareh Kalantar, Loke Kok Foong, Dieu Tien Bui and Alireza Motevalli
Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of concrete slump prediction. Two we...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zahra Alizadeh, Jafar Yazdi, Joong Hoon Kim and Abobakr Khalil Al-Shamiri
Monthly flow predictions provide an essential basis for efficient decision-making regarding water resource allocation. In this paper, the performance of different popular data-driven models for monthly flow prediction is assessed to detect the appropriat...
ver más
|
|
|
|
|
|