|
|
|
|
|
Pengxuan Zhao, Chuanhai Wang, Jinning Wu, Gang Chen, Tianshu Zhang, Youlin Li and Pingnan Zhang
In the wake of frequent and intensive human activities, highly urbanized areas consistently grapple with severe water environmental challenges. It becomes imperative to establish corresponding water environment models for simulating and forecasting regio...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fabian Ariel Salum,Karina Garcia Coleta,Dalila Pereira Rodrigues,Humberto Elias Garcia Lopes
|
|
|
|
|
|
|
|
|
|
|
Xuefeng Guan, Chong Xie, Linxu Han, Yumei Zeng, Dannan Shen and Weiran Xing
During the exploration and visualization of big spatio-temporal data, massive volume poses a number of challenges to the achievement of interactive visualization, including large memory consumption, high rendering delay, and poor visual effects. Research...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jaime Rincon, Vicente Julian and Carlos Carrascosa
In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a model and shares only model parameters, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roger B. Chen
Pág. 460 - 479
In transportation and traffic analysis count data arises frequently, collectively emerging from individual traveler choices from a choice set of alternatives. Examples include network origin-destination (OD) flow rates and visitor counts at transit stati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Pablo Brusola, Sergio Garcia-Nieto, Jose Vicente Salcedo, Miguel Martinez and Robert H. Bishop
This paper presents a mathematical modeling approach utilizing a fuzzy modeling framework for fixed-wing aircraft systems with the goal of creating a highly desirable mathematical representation for model-based control design applications. The starting p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tongyang Xu, Yuan Liu, Zhaotai Ma, Yiqiang Huang and Peng Liu
As a new distributed machine learning (ML) approach, federated learning (FL) shows great potential to preserve data privacy by enabling distributed data owners to collaboratively build a global model without sharing their raw data. However, the heterogen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christoph Erlacher, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus and Thomas Blaschke
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the nu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xin Li, Xiaodi Zhang and Yuling Fan
To reduce the fluctuation of renewable energy (RE) supply and improve the economic efficiency of the power grid, the energy local area network (ELAN), which is a subnetwork of the energy internet (EI), plays an important role in specific regions. Electri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nilesh Anand, J.H. Ron van Duin, Lori Tavasszy
Pág. 4 - 15
Efficiency of city logistics activities suffers due to conflicting personal preferences and distributed decision making by multiple city logistics stakeholders. This is exacerbated by interdependency of city logistics activities, decision making with lim...
ver más
|
|
|
|
|
|
|
|
|
|
|
Weili Kou, Hui Li and Kailai Zhou
Big data makes cloud computing more and more popular in various fields. Video resources are very useful and important to education, security monitoring, and so on. However, issues of their huge volumes, complex data types, inefficient processing performa...
ver más
|
|
|
|
|
|
|
|
|
|
|
Changbin Hu, Shanna Luo, Zhengxi Li, Xin Wang and Li Sun
According to the topological structure of wind-storage-load complementation microgrids, this paper proposes a method for energy coordinative optimization which focuses on improvement of the economic benefits of microgrids in the prediction framework. Fir...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alya Alshammari and Khalil El Hindi
The combination of collaborative deep learning and Cyber-Physical Systems (CPSs) has the potential to improve decision-making, adaptability, and efficiency in dynamic and distributed environments. However, it brings privacy, communication, and resource r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Indrakshi Dey and Nicola Marchetti
In this paper, we develop a tractable mathematical model and an emulation framework for communicating information through water using acoustic signals. Water is considered one of the most complex media to model due to its vastness and variety of characte...
ver más
|
|
|
|
|
|
|
|
|
|
|
Furkat Safarov, Mainak Basak, Rashid Nasimov, Akmalbek Abdusalomov and Young Im Cho
In the rapidly evolving landscape of internet usage, ensuring robust cybersecurity measures has become a paramount concern across diverse fields. Among the numerous cyber threats, denial of service (DoS) and distributed denial of service (DDoS) attacks p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aobo Yue and Xupeng Yin
Production efficiency is a critical research topic in the field of construction economics and management. It reflects the developmental potential and competitiveness of the economy or an economic system. An objective and reasonable assessment framework o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chin-Shiuh Shieh, Wan-Wei Lin, Thanh-Tuan Nguyen, Chi-Hong Chen, Mong-Fong Horng and Denis Miu
DDoS (Distributed Denial of Service) attacks have become a pressing threat to the security and integrity of computer networks and information systems, which are indispensable infrastructures of modern times. The detection of DDoS attacks is a challenging...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hsin-Pin Fu, Tsung-Sheng Chang, Hsiao-Ping Yeh and Yu-Xuan Chen
Currently, the green procurement activities of private hospitals in Taiwan follow the self-built green electronic-procurement (e-procurement) system. This requires professional personnel to take the time to regularly update the green specification and so...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas and Vassilis Tampakas
In this manuscript, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon, both containing information about customers...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas and Vassilis Tampakas
In this manuscript, we present a prediction model based on the behaviour of each customer using data mining techniques. The proposed model utilizes a supermarket database and an additional database from Amazon, both containing information about customers...
ver más
|
|
|
|
|
|