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The high risk of traffic accidents on highways caused by low visibility makes it vital for accurate visibility estimation. As an effective and low-cost solution, image-based visibility estimation has achieved great progress. However, most existing ...

Channels and locks are crucial resources for ships of inland waterways. This paper addresses the ship scheduling problem based on channel-lock coordination, where ships entering the channel are affected by water discharge during flood season. A ...

Ubiquitous uncertainties significantly impact the formulation and execution of the scheduling plan in container ports. Analyzing the recent two decades of peer-reviewed literature, this systematic review critically identifies key trends and ...

• A comprehensive classification framework.
• Key categories, features, and handling methods of uncertainties in port scheduling.
• Latest features and developments in port scheduling problem concerning uncertainty.
• Uncover ...

In today's era of data expansion, people can obtain a large number of different kinds of information through different channels, but this will lead to the emergence of "information overload". However, as private information becomes more and more ...

There is growing interest in the lock group co-scheduling research because of serious capacity imbalance between two dams at Three Gorges-Gezhou Dams Hub (TGDH). However, most current studies ignore the impact of ship lift and approach channel on ...

With the increasing types of smart terminals in the power Internet of Things and the continuous improvement of the network environment, the communication services and communication protocols between various terminals have become more and more complex. ...

• A problem of port integrated scheduling under uncertain operation time is solved.
• An anti-cascade effect and robustness analysis method of schedules is investigated based on the complex network graph.
• A port integrated scheduling ...

The integrated scheduling of quay cranes, yard cranes, and internal vehicles in a port allows for further optimization of resource allocation on a global scale. Since the scheduling objects are all mobile equipment and their mutual waiting time ...

This paper considers a coordinated global shipment matching problem in which a global operator receives shipment requests from shippers and three local operators provide local transport services in different geographical areas. While local operators make ...

In Wireless Body Area Networks (WBANs), on the one hand, the energy of nodes is limited. On the other hand, the network topology often changes due to human movement or posture changes. Unstable network topology is easy to cause packet loss, and ...

Deep semi-supervised learning is becoming an active research topic because it jointly utilizes labeled and unlabeled samples in training deep neural networks. Recent advances are mainly focused on inductive semi-supervised learning ...

More recently, with the development of deep learning and the expansion of its applications, deep learning became the targets of attackers. Researchers found that adversarial perturbations have excellent efficiency for attacking deep neural ...

With the continuous construction and improvement of the national power wisdom IOT system, the deployment of the IOT management platform plays a key role in carrying out online management and remote operation and maintenance for various types of edge IOT ...

Global intermodal transportation involves the movement of shipments between inland terminals located in different continents by using ships, barges, trains, trucks, or any combination among them through integrated planning at a network level. One ...

In this paper, we present a genetic algorithm-based puzzle solver, which is mainly used to solve small-scale puzzle problems. We introduce a new measurement function that improves its accuracy by normalizing the Mahalanobis distance and the ...

Reliability and energy consumption are the two important metrics in wireless body area network (WBAN) for medical application, and they are also the difficulties and key points in network research. In this article, we propose a new adaptive Markov-based ...

This paper studies the discontinuous Galerkin (DG) method for a class of general hyperbolic equations with periodic boundary conditions when upwind fluxes are used. By constructing a improved correction function and interpolation function, for any ...

Rechargeable sensor networks which are powered by reusable energy (e.g., solar energy, wind energy or thermal energy) are promising for perpetual data service. Due to the time-varying characteristics of harvested energy, the problem of data sampling ...

Entity resolution is the basic operation of data quality management, and the key step to find the value of data. The parallel data processing framework based on MapReduce can deal with the challenge brought by big data. However, there exist two ...

This paper surveys intelligent routing protocols which contribute to the optimization of network lifetime in wireless sensor networks (WSNs). Different from other surveys on routing protocols for WSNs, this paper first puts forward new ideas on the ...

This paper proposes a comprehensive routing protocol (CRP) based on the ant colony algorithm for the applications of Wireless Sensor Network (WSN). It is a protocol taking both the lifetime of network and the arrival rate of data packet into account. In ...