Search
Search Results
-
A Modified Neuro-Fuzzy System for Accuracy Improvement of Low-Cost MEMS-Based INS/GPS Navigation System
Integration of an inertial navigation system (INS) and global positioning system (GPS) assures the reliability and accuracy of navigation solutions...
-
Classification of Breast Cancer Using CNN and Its Variant
Deep learning comes under machine learning. It includes statistics and predictive modeling, which plays vital role in data science. It helps in...
-
Cervical Cancer Prediction Using Machine Learning Techniques
Precautionary measures are often less expensive than medical care in practically all nations. Early detection of any disease increases the likelihood...
-
Analyzing the feature extraction of football player’s offense action using machine vision, big data, and internet of things
These days, the integration of big data and information systems enables industries such as sports, health, and medical sciences in resource...
-
Real-Time Multi-Class Classification of Water Quality Using MLP and Ensemble Learning
The major goal of water management planning and the iterative evaluation of operational policies and procedures is to ensure that good water quality...
-
Enhanced security for IoT networks: a hybrid optimized learning model for intrusion classification
The Internet of Things (IoT) features multiple device connectivity and breaks the conventional network connectivity limitations like limited wireless...
-
RVFLN-CDFPA: a random vector functional link neural network optimized using a chaotic differential flower pollination algorithm for day ahead Net Asset Value prediction
Mutual funds remain the most favoured investment instrument in the extensive domain of finance due to healthy and blooming returns in its asset...
-
An Empirical Study of Multi-class Imbalance Learning Algorithms
Real-life data are often imbalanced which represent the major hurdle in classification applications. Despite incremental improvements, gaining from...
-
High strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm
The most crucial mechanical property of concrete is compression strength (CS). Insufficient compressive strength can therefore result in severe...
-
Recent Trends in Automatic Autism Spectrum Disorder Detection Using Brain MRI
Autism spectrum disorder (ASD) is a multifaceted developmental and psychological disability that consists of importunate challenges regarding...
-
A Framework of a Filtering and Classification Techniques for Enhancing the Accuracy of a Hybrid CBIR System
In recent times, content-based image retrieval (CBIR) has gained more attention. CBIR is a technology for retrieving the features of an image from a...
-
Predictive Situation Awareness and Anomaly Forecasting in Cyber-Physical Systems
A new feature-based situation awareness and forecasting framework is presented for rapid detection and early warning of abnormalities in...
-
A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
目的对钻进效率进行精确预测是制定土方开挖进度计划的关键。但现有预测方法多采用单个机器学**模型, 存在参数敏感性和过拟合等问题, 且往往忽略了环境因素和人员操作因素的影响。针对这些问题, 本文提出一种同时考虑多种因素综合影响的新的集成学**预测方法。
创新点1....
-
Ensemble Learning Models Coupled with Urban Mobility Information Applied to Predict COVID-19 Incidence Cases
The coronavirus disease (COVID-19), according to the World Health Organization, by July 15th, 2021, has infected more than 188 million people, and...
-
A novel stacking-based ensemble learning model for drilling efficiency prediction in earth-rock excavation
目的对钻进效率进行精确预测是制定土方开挖进度计划的关键。但现有预测方法多采用单个机器学**模型，存在参数敏感性和过拟合等问题，且往往忽略了环境因素和人员操作因素的影响。针对这些问题，本文提出一种同时考虑多种因素综合影响的新的集成学**预测方法。
创新点1....
-
Non-Invasive Feature Selection for Intrusion Detection Systems in the Internet of Things
Illegal access to the Internet of things (IoT) and computer networks results in severe security damage, which must be protected by intrusion...
-
Strength prediction and drillability identification for rock based on measurement while drilling parameters
Rapid acquisition of rock mechanical parameters and accurate identification of rock drillability are important to guide the safe construction of...
-
Improving Accuracy of Document Image Classification Through Soft Voting Ensemble
Convolutional Neural Networks (CNNs) work well on document image classification tasks, yielding prediction accuracies comparable to state of the art...
-
SkinNet: Enhancing Dermatological Diagnosis Through a New Deep Learning Framework
Skin cancer is a prevalent and potentially deadly disease, with early detection and treatment crucial for improved outcomes. With technological...
-
Streamflow Forecasting Using Machine Learning Approach: A Case Study
The ability to anticipate monthly streamflow accurately is critical for proper planning and management of water resources. The capability of three...