AIMC Topic: Algorithms

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Advances in Vision-Based Gait Recognition: From Handcrafted to Deep Learning.

Sensors (Basel, Switzerland)
Identifying people's identity by using behavioral biometrics has attracted many researchers' attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is identified based on their walking style. Over the years, gait reco...

A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction.

Sensors (Basel, Switzerland)
Remaining useful life prediction is one of the essential processes for machine system prognostics and health management. Although there are many new approaches based on deep learning for remaining useful life prediction emerging in recent years, thes...

Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility.

Frontiers in immunology
Histocompatibility in solid-organ transplantation has a strong impact on long-term graft survival. Although recent advances in matching of both B-cell epitopes and T-cell epitopes have improved understanding of allorecognition, the immunogenic determ...

The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework.

PloS one
Throughout the past few years, the Internet of Things (IoT) has grown in popularity because of its ease of use and flexibility. Cyber criminals are interested in IoT because it offers a variety of benefits for users, but it still poses many types of ...

Systematic comparison of machine learning algorithms to develop and validate predictive models for periodontitis.

Journal of clinical periodontology
AIM: The aim of this study was to compare the validity of different machine learning algorithms to develop and validate predictive models for periodontitis.

Deep-learning-based instrument detection for intra-operative robotic assistance.

International journal of computer assisted radiology and surgery
PURPOSE: Robotic scrub nurses have the potential to become an attractive solution for the operating room. Surgical instrument detection is a fundamental task for these systems, which is the focus of this work. We address the detection of the complete...

IoT and Satellite Sensor Data Integration for Assessment of Environmental Variables: A Case Study on NO.

Sensors (Basel, Switzerland)
This paper introduces a novel approach to increase the spatiotemporal resolution of an arbitrary environmental variable. This is achieved by utilizing machine learning algorithms to construct a satellite-like image at any given time moment, based on ...

Discrete Missing Data Imputation Using Multilayer Perceptron and Momentum Gradient Descent.

Sensors (Basel, Switzerland)
Data are a strategic resource for industrial production, and an efficient data-mining process will increase productivity. However, there exist many missing values in data collected in real life due to various problems. Because the missing data may re...

An Algorithm for Task Allocation and Planning for a Heterogeneous Multi-Robot System to Minimize the Last Task Completion Time.

Sensors (Basel, Switzerland)
This paper proposes an algorithm that provides operational strategies for multiple heterogeneous mobile robot systems utilized in many real-world applications, such as deliveries, surveillance, search and rescue, monitoring, and transportation. Speci...

Best of Both Worlds: Detecting Application Layer Attacks through 802.11 and Non-802.11 Features.

Sensors (Basel, Switzerland)
Intrusion detection in wireless and, more specifically, Wi-Fi networks is lately increasingly under the spotlight of the research community. However, the literature currently lacks a comprehensive assessment of the potential to detect application lay...