Novel Cuckoo Search-Based Metaheuristic Approach for Deep Learning Prediction of Depression

Modified Genetic Algorithm with Deep Learning for Fraud Transactions of Ethereum Smart Contract

(2023) Rabia Musheer Aziz et al.   Applied Sciences-Basel

A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification

(2023) Abrar Yaqoob et al.   Mathematics

Deep Learning-based Smart Predictive Evaluation for Interactive Multimedia-enabled Smart Healthcare

(2022) Zhihan Lv et al.   ACM Transactions on Multimedia Computing Communications and Applications

Machine Learning-based Soft Computing Regression Analysis Approach for Crime Data Prediction

(2022) Rabia Musheer Aziz et al.   Karbala International Journal of Modern Science

TBSM: A traffic burst-sensitive model for short-term prediction under special events

(2022) Yilong Ren et al.   KNOWLEDGE-BASED SYSTEMS

Nature-inspired metaheuristics model for gene selection and classification of biomedical microarray data

(2022) Rabia Musheer Aziz   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Application of nature inspired soft computing techniques for gene selection: a novel frame work for classification of cancer

(2022) Rabia Musheer Aziz   SOFT COMPUTING

A Machine Learning based Approach to Detect the Ethereum Fraud Transactions with Limited Attributes

(2022) Rabia Musheer Aziz et al.   Karbala International Journal of Modern Science

Entrepreneurship education-infiltrated computer-aided instruction system for college Music Majors using convolutional neural network

(2022) Hong Cao   Frontiers in Psychology

A Driving Fatigue Feature Detection Method Based on Multifractal Theory

(2022) Fuwang Wang et al.   IEEE SENSORS JOURNAL

A vision-based container position measuring system for ARMG

(2022) Yujie Zhang et al.   MEASUREMENT & CONTROL

2D/3D Multimode Medical Image Alignment Based on Spatial Histograms

(2022) Yuxi Ban et al.   Applied Sciences-Basel

Iterative reconstruction of low-dose CT based on differential sparse

(2022) Siyu Lu et al.   Biomedical Signal Processing and Control

Design and Implementation of 3-D Measurement Method for Container Handling Target

(2022) Chao Mi et al.   Journal of Marine Science and Engineering

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

(2021) Matthew D. Nemesure et al.   Scientific Reports

Heuristic recommendation technique in Internet of Things featuring swarm intelligence approach

(2021) Agostino Forestiero   EXPERT SYSTEMS WITH APPLICATIONS

Detection of Minor and Major Depression through Voice as a Biomarker Using Machine Learning

(2021) Daun Shin et al.   Journal of Clinical Medicine

DepNet: An automated industrial intelligent system using deep learning for video‐based depression analysis

(2021) Lang He et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Deep learning for depression recognition with audiovisual cues: A review

(2021) Lang He et al.   Information Fusion

A survey of the recent architectures of deep convolutional neural networks

(2020) Asifullah Khan et al.   ARTIFICIAL INTELLIGENCE REVIEW

Application of RBF neural network optimal segmentation algorithm in credit rating

(2020) Xuetao Li et al.   NEURAL COMPUTING & APPLICATIONS

Using machine learning-based analysis for behavioral differentiation between anxiety and depression

(2020) Thalia Richter et al.   Scientific Reports

Depression recognition using machine learning methods with different feature generation strategies

(2019) Xiaowei Li et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Detection and classification of social media-based extremist affiliations using sentiment analysis techniques

(2019) Shakeel Ahmad et al.   Human-centric Computing and Information Sciences

Using text mining to extract depressive symptoms and to validate the diagnosis of major depressive disorder from electronic health records

(2019) Chi-Shin Wu et al.   JOURNAL OF AFFECTIVE DISORDERS

Global and Local-Contrast Guides Content-Aware Fusion for RGB-D Saliency Prediction

(2019) Wujie Zhou et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Automated EEG-based screening of depression using deep convolutional neural network

(2018) U. Rajendra Acharya et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A Knowledge-Based Recommendation System that includes Sentiment Analysis and Deep Learning

(2018) Renata Lopes Rosa et al.   IEEE Transactions on Industrial Informatics

Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

(2018) Richard Dinga et al.   Translational Psychiatry

Particle swarm optimization for programming deep brain stimulation arrays

(2017) Edgar Peña et al.   Journal of Neural Engineering

A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning

(2015) Santiago Jiménez-Serrano et al.   Telemedicine and e-Health

A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning

(2015) Santiago Jiménez-Serrano et al.   Telemedicine and e-Health

Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal

(2012) Behshad Hosseinifard et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Particle Swarm Optimization - A Survey

(2009) Keisuke KAMEYAMA   IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS