In recent years, a significant portion of the content on various platforms on the internet has been found to be offensive or abusive. Abusive comment detection can go a long way in preventing internet users from facing the adverse effects of coming in ...

The importance of glomerular function in kidney physiology characterizes glomerular diseases as the main problem in nephrology. So finding and classifying glomerular disorders are fundamental steps for diagnosing many kidney diseases. This paper ...

Simulating urban mobility scenarios is a useful tool for researchers in multiple fields like Urban Planning, Traffic Optimization, CO$^2$ Emissions Analysis, Performance Evaluation of Protocols for Connected Vehicles, among others. SUMO handles ...

Motivated by recent commentary that has questioned today's pursuit of ever-more complex models and mathematical formalisms in applied machine learning and whether meaningful empirical progress is actually being made, this paper tackles the decades-old ...

Two major security threats for wireless networks are physical jamming and virtual jamming. The inherent openness of the wireless channels exposes the network to the physical jamming problem. On the other hand, the virtual carrier-sensing mechanism of ...

The development of microwave radar vital sign sensing system brings many benefits to mankind. This system can be used to detect the location of living people buried under debris. Other important applications of microwave radar sensor are smart home, ...

In data mining classification problems, the higher the number of features, the harder the visualization of the training set is. Working on a dataset with varied factors sounds a big problem for data analyst even after applying classification models, ...

Dental caries is one of the most common tooth diseases in the world which affects people of all ages. In this study, we developed a model that detects and locates smooth surface carious regions in frontal teeth images using Support Vector Machine and ...

Support Vector Machine (SVM) is a widely used supervised machine learning algorithm for classification. Training SVM is challenging due to high computational cost and memory requirements. More often such training is handled at back end servers leading ...

In the future, libraries and warehouses will gain benefits from the spatial location of books and merchandises attached with RFID tags. Existing localization algorithms, however, usually focus on improving positioning accuracy or the ordering one for ...

New babies bring numerous happiness to parents as well as responsibilities. Parents would better fix their eyes on babies to guarantee everything run smoothly during their growing process. But it’s hard to handle all other issues meantime looking after ...

This paper presents a new method for diagnosing schizophrenia using deep learning. This experiment used a secondary dataset supplied by the National Institute of Health. The experiment analyzes the dataset and identifies schizophrenia using traditional ...

This study discusses the prediction model of entrepreneurship intent for alumni. The data is obtained from the database of an online job market, alumni tracer and survey results to the alumni. This research applies the C4.5 decision tree algorithm to ...

Pedestrian detection will play a major role in future driver assistance and autonomous driving. One powerful algorithm in this field uses HOG features to describe the specific properties of pedestrians in images. To determine their locations, features ...

Support vector machine (SVM) as a learning machine has shown a good learning ability and generalization ability in classification, regression and forecasting. Because of its excellent learning performance, SVM has always been a hotspot in machine ...

AGEL-SVM is an extension to a kernel Support Vector Machine (SVM) and is designed for distributed computing using Approximate Global Exhaustive Local sampling (AGEL)-SVM. The dual form of SVM is typically solved using sequential minimal optimization (...

Teleoperation encompasses the use of software and hardware interfaces to remotely control mechanical devices. Ideally, a telepresence humanoid robotic system, which faithfully replicates the operator's motion and accurately relays sensory feedback to ...

Face recognition has received significant attention during the past several years. It is a challenge task because faces can be affected by scale, noises, face expression, illumination, color or pose variations. The most robust methodologies related to ...

Many cities have been releasing their traffic data for companies to do the data analytics for business and other purposes. In this paper, we propose different classification models to analyze the places that most of vehicles speed and the places that ...

Support vector machine (SVM) is a supervised classifier which has been applied for solving a wide range of pattern recognition problems. However, training of SVMs may easily become a bottleneck, because of its time and memory requirements. Enduring this ...