Expert Systems With Applications
Papers 12855
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#1Zaid Alyafeai (UPM: King Fahd University of Petroleum and Minerals)
#2Lahouari Ghouti (UPM: King Fahd University of Petroleum and Minerals)H-Index: 11
Abstract Cervical cancer ranks the fourth most common cancer among females worldwide with roughly 528, 000 new cases yearly. Around 85% of the new cases occurred in less-developed countries. In these countries, the high fatality rate is mainly attributed to the lack of skilled medical staff and appropriate medical pre-screening procedures. Images capturing the cervical region, known as cervigrams, are the gold-standard for the basic evaluation of cervical cancer presence. Cervigrams have high in...
#1Yiqi Gu (Purdue University)
#2Xi Yang (Purdue University)
Last.Guang Lin (Purdue University)
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Abstract Recommending system is a popular tool in many commercial or social platforms which finds interesting products for users based on their preference history. Predicting the ratings of items, such as movies, plays an essential role in the recommending system. In this context, we develop a new type of latent factor models by attaching weights to the entries of the incomplete ratings matrix. The weights are computed after estimating the user/item mean errors caused by the basic SVD model unde...
#1Xiaoxiong Zhang (UW: University of Waterloo)H-Index: 1
#2Liping Fang (RyeU: Ryerson University)H-Index: 23
Last.Yuejin Tan (National University of Defense Technology)H-Index: 9
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Abstract A novel hybrid portfolio selection procedure consisting of three phases is proposed for choosing an appropriate project portfolio based on a set of criteria having fuzzy measurements. Different from other existing selection procedures, in which decisions are based mainly on the projects’ characteristics at decision points, the proposed procedure takes into account projects’ historical performances. In particular, projects are first evaluated and assigned comparable scores, based on whic...
#1Sina Lessanibahri (UPM: Technical University of Madrid)H-Index: 1
#2Luca Gastaldi (Polytechnic University of Milan)H-Index: 7
Last.C. Fernandez (UPM: Technical University of Madrid)H-Index: 4
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Abstract Frequent itemset mining is today one of the most popular data mining techniques. Its application is, however, hindered by the high computational cost in many real-world datasets, especially for smaller values of support thresholds. In many cases, moreover, the large number of frequent itemsets discovered is overwhelming. In some real-world applications, it is sufficient to find a smaller subset of frequent itemsets, such as identifying the frequent itemsets with a maximum length. In thi...
#1Kun-Huang Chen (Wenzhou University)H-Index: 25
#2Shimin Li (Wenzhou University)H-Index: 1
Last.Chang-Cheng Huang (Wenzhou University)H-Index: 1
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Abstract The original fruit fly algorithm (FOA) in simple structure is easy to understand, but it has a slow convergence rate and tends to be trapped in the local optimal solutions. In order to improve the convergence rate and efficacy of FOA, two new mechanisms are integrated with the exploratory and exploitative strategies of the original FOA: the outpost mechanism and the multi-population mechanism. The outpost mechanism consists of two parts: greedy selection and Gaussian mutation, which is ...
#1Rohan Mukherjee (Goa Institute of Management)H-Index: 1
Last.Ajoy Kumar RayH-Index: 20
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Abstract Motion estimation (ME) is crucial to the performance of a video codec as it recognizes and mitigates temporal redundancies between consecutive frames of a video sequence. It is one of the most computationally intensive blocks in the video encoder. Block matching algorithm (BMA) is considered as one of the best approaches for performing ME due to its ease of implementation and efficiency. Several ME algorithms are based on fixed search patterns while the others are adaptive in nature and...
#1Nazia Hameed (ARU: Anglia Ruskin University)H-Index: 1
#2Antesar M. Shabut (Leeds Trinity University)
Last.M. A. Hossain (Teesside University)H-Index: 20
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Abstract Skin diseases remain a major cause of disability worldwide and contribute approximately 1.79% of the global burden of disease measured in disability-adjusted life years. In the United Kingdom alone, 60% of the population suffer from skin diseases during their lifetime. In this paper, we propose an intelligent digital diagnosis scheme to improve the classification accuracy of multiple diseases. A Multi-Class Multi-Level (MCML) classification algorithm inspired by the “divide and conquer”...
#1Maria João Sousa (IST: Instituto Superior Técnico)
#2Alexandra Moutinho (IST: Instituto Superior Técnico)H-Index: 9
Last.Miguel Almeida (UC: University of Coimbra)H-Index: 5
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Abstract Wildfire detection is a time-critical application as the difficulty to pinpoint ignition locations in a short time-frame often leads to the escalation of the severity of fire events. This problem has motivated considerable interest from expert systems research to develop accurate early-warning applications and the breakthroughs in deep learning in complex visual understanding tasks open novel research opportunities. However, despite the improvements in performance demonstrated in the cu...
#1Muhammad Arsalan (Dongguk University)H-Index: 2
#2Dong Seop Kim (Dongguk University)H-Index: 4
Last.P Kang Ryoung (Dongguk University)H-Index: 34
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Abstract Skin segmentation is one of the most important tasks for human activity recognition, video monitoring, face detection, hand gesture recognition, content-based detection, adult content filtering, human tracking, and robotic surgeries. Skin segmentation in ideal situations is easy to accomplish because it is with similar backgrounds. However, the skin segmentation in non-ideal situations is complicated due to difficult background illuminations, the presence of skin-like pixels, and enviro...
1 CitationsSource
#1Emilio Martin (Charles III University of Madrid)
#2Alejandro Cervantes (Charles III University of Madrid)H-Index: 7
Last.Pedro Isasi (Charles III University of Madrid)H-Index: 17
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Abstract The home care and scheduling problem (HCSP) consists on the design of a set of routes to be used by caregivers that provide daily assistance at specific times to patients located in a definite geographic area. In this study we propose a modified version of Ant Colony Optimization (ACO), called IACS-HCSP, to approach this task. In order to be used in this problem, ACO requires modifications in the problem representation and additional mechanisms to deal with constraints. We propose a dyn...
Top fields of study
Machine learning
Data mining
Pattern recognition
Computer science
Fuzzy logic