Expert Systems with Applications: An International Journal

Among the model-based collaborative filtering (CF) recommendation algorithms, matrix factorization (MF) technology is quite efficient. An ever-increasing focus has witnessed that the non-negative latent factor (NLF)-based MF model is ...

• A new non-negative latent factor model is proposed.
• Various non-negative latent ...

We present a distributed quantized state feedback approach for ensuring predesignated formation tracking performance of uncertain multiple nonholonomic mobile robots under a band-limited directed network with signal quantization. Under ...

• A distributed quantized state feedback strategy is developed.
• The predesignated ...

• A flexible job shop scheduling problem with outsourcing and job priority is studied.

Owing to the increasing complexity of products and the specialization of enterprises, production outsourcing has become a common practice in industrial manufacturing. Moreover, different jobs feature various priorities in actual ...

The boom in cuisine websites has accumulated a wealth of recipe data, as well as interaction data between users and recipe. Based on these data, users can get recommendation that meet their tastes on recommendation algorithm. In this ...

• Proposed a deep learning based method for automatic recipe recommendation.
• A ...

The representation of hieroglyphs in retrieval systems represents a great challenge since these systems’ results highly depend on the used representation. In the literature, the most successful works in this area compute local ...

• Hieroglyph representation for retrieval based on encoding hieroglyph segments.
• ...

Sequential recommendation becomes a critical task in many application scenarios, since people’s online activities are increasing. In order to predict the next item that users may be interested, it is necessary to take both general and ...

• A novel unified framework for sequential recommendation is proposed.
• Multi-head ...

• This paper studies the competition effect of product recommendation networks.
• ...

Extant studies have focused on the sales benefits of product recommendation networks; however, the competition effects of such networks have been overlooked. Understanding the competition effects of product recommendation networks is ...

Since the multi-objective ant colony optimization algorithm consumes a massive cost of time and computation resources, improving its convergence performance is essential. This paper proposes a historical experience-guided pheromone ...

• An intragroup evolutionary information-guided pheromone updating strategy.
• A ...

Hate speech on online social media platforms is now at a level that has been considered a serious concern by governments, media outlets, and scientists, especially because it is easily spread, promoting harm to individuals and society, ...

• We investigated unintended gender bias on online social media.
• Proposal of a ...

The time overhead is huge and the clustering quality is unstable when running the K-means algorithm on massive raw data. To solve these problems, the concept of the influence space is introduced, and on this basis, a new clustering ...

• The impact of outliers on clustering results is reduced using the influence space.

• Graph representation learning technique is used to identify and classify the learning style of learners.

The accessibility and popularity of online learning have aided the spread of modern learning systems, which provide numerous opportunities for studying the behavior of learners and improving their learning quality. In online platforms, ...

Robust systems are required for autonomous driving on non-uniform terrain commonly found in open-pit mines and developing countries. To help narrow the gap in this kind of application, this work proposes a perception system for ...

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• Autonomous vehicles and ADAS able to drive on unpaved urban and rural roads.
• ...

Text-based communication is highly favoured as a communication mean, especially in business environments. As a result, it is often abused by sending malicious messages, e.g., spam emails, to deceive users into relaying personal ...

Antiviruses (AVs) are computing-intensive applications that rely on constant monitoring of OS events and on applying pattern matching procedures on binaries to detect malware. In this paper, we introduce HEAVEN, a framework for Intel ...

• Real-time AntiViruses (AVs) become performance-prohibitive if purely implemented in software.

Currently, the use of dimensionality reduction techniques such as t-distributed stochastic neighbor embedding (t-SNE) to visualize data has become essential in dealing with large-scale datasets. The state-of-the-art t-SNE-based ...

• Fast SWW-AtSNE method for dimensionality reduction preserves Global/Local structures.

Drained wetlands can constitute a large source of greenhouse gas emissions, but the drainage networks in these wetlands are largely unmapped, and better maps are needed to aid in forest production and to better understand the climate ...

• A decision support system for forest management is presented.
• A large-scale ...

• We consider berth allocation problem in tidal bulk port with multiple continuous quays.

The Berth Allocation Problem (BAP) is a primary seaside operations planning problem in bulk terminals. It consists of allocating quayside space to incoming vessels. In this article, the BAP for multiple continuous quays and dynamic ...

The low level vision processing methods based on nuclear norm and distance measurement can reveal the low-rank structure of data matrix and the similarity of data samples, which is an emerging research topic. However, there are two ...

• Unsupervised low vision processing methods are proposed.
• Methods are based on ...

The early detection of drowsiness has become vital to ensure the correct and safe development of several industries’ tasks. Due to the transient mental state of a human subject between alertness and drowsiness, automated drowsiness ...

• A Capsule Network for drowsiness detection method is proposed.
• The system is ...

Skin lesion segmentation is an important step for automatic melanoma diagnosis. Due to the non-negligible diversity of lesions from different patients, extracting powerful context for fine-grained semantic segmentation is still ...

• Propose a cascaded context enhancement neural network for skin lesion segmentation.

Evaluation is a frequent occurrence in our daily lives, especially in online systems. Establishing ways to characterize the reputation of an evaluator is therefore becoming an important problem in online systems, and this has attracted ...

• Suggested to use a vector to characterize the reputation of the evaluators.
• ...

• We propose a dynamic fuzzy time series model combined with sliding window.
• The ...

The fuzzy time series (FTS) model is widely used to forecast time series data. However, the predicted results of FTS are poor for industrial time series data, especially when data changes rapidly and its volume is enormous. Therefore, ...

Most mean–variance (MV) models construct a portfolio based on nonstationary stocks. This study presents a new MV model constructed using stationary portfolios composed of cointegrated stocks. The expected return of this new model is ...

• Novel method for investment using machine learning models.
• Portfolio formation ...

• Developed a scalable workflow for visualizing the subsurface CO2 plume.
• Fourier ...

Subsurface sequestration of carbon dioxide (CO₂) requires long-term monitoring of the injected CO₂ plume to prevent CO₂ leakage along the wellbore or across the caprock. Accurate knowledge of the location and movement of the injected ...

• Designing a new tri-objective model for a home health care problem under a fuzzy uncertainty.

With the increasing number of older people and high hospital treatment costs, older people tend to receive cures at home and more demand for home health care centers (HHCCs). Therefore, HHCCs should use appropriate planning to carry ...

• A driving styles recognition algorithm based two layers Fuzzy controller is defined.

The propelling torque of a plug-in hybrid electric vehicle (PHEV) is provided by the engine and driving motor. However, the driver style has a great influence on the fuel economy performance of the PHEV. To address this issue, this ...

Chronic diseases for children pose serious challenges from a health management perspective. When not implemented in a well-designed manner, an inefficient management platform can have a significant negative impact on patients and the ...

• A new chronic disease management system aimed at child patients is proposed.
• ...

Growing class of optimisation problems are reported to attract increasing interest even though they are very challenging and difficult to solve exactly. Quadratic Assignment Problem (QAP), Travelling salesman, weapon target assignment, ...

• This paper is on Quantum Computing and Optimisation.
• The well known QAP problem ...

This paper proposes a novel method to estimate the amount of accumulated frost using acoustic signals and artificial intelligence. The objective of this method is to estimate the amount of accumulated frost on the surface of the ...

• Intelligent models for frost classification in an evaporator surface.
• Design of ...