Horizontal Sequence Pooling Technique in Convolutional Neural Networks to Optimize Feature Extraction for DNA Sequence Classification

Lilibeth Coronel,Arnel Fajardo,Ruji Medina

#Pooling technique #classification #convolutional neural network #feature extraction #genomic sequence

An Improved Classification Model for English Syntax Error Correction Design of DL Algorithm

Xue Han

#Universities #English #syntax error #classification model #neural network #attention mechanism

CANBLWO: A Novel Hybrid Approach for Semantic Text Generation

Abhishek Kumar Pandey,Sanjiban Sekhar Roy

#Natural language processing #natural language generation #neural network #convolutional attention network #whale optimization algorithm #BERT #large language model

FPGA based Flexible Implementation of Light Weight Inference on Deep Convolutional Neural Networks

Shefa Dawwd

#Standard convolution #depthwise separable convolution #inference #deep convolutional neural networks #FPGA

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition

ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction

Ruijuan Hu,Haiyan Liu,Wentao Yu

#Relation prediction #event relation #data augmentation #graph convolutional networks #causality extraction

Muzzle Classification Using Neural Networks

Ibrahim El-Henawy, Hazem El-bakry, and Hagar El-Hadad

#Muzzle classification #image processing #neural networks

Computational Intelligence Based Point of Interest Detection by Video Surveillance Implementations

Emre Tercan,Serkan Tapkın,Furkan Küçük,Ali Demirtaş,Ahmet Özbayoğlu,Abdussamet Türker

#Point of interest detection #YOLO algorithm #R-CNN #TOOD #deep learning

RoboGuard: Enhancing Robotic System Security with Ensemble Learning

Ali Al Maqousi,Mohammad Alauthman

#Robotic systems #cybersecurity #malware detection #machine learning #ensemble learning #synthetic minority over-sampling technique

Machine Learning Models for Statistical Analysis

Marko Grebovic,Luka Filipovic,Ivana Katnic,Milica Vukotic,Tomo Popovic

#Machine learning #artificial neural networks #statistical models #accuracy measures

A Comparative Study of Different Pre-Trained Deep Learning Models and Custom CNN for Pancreatic Tumor Detection

Muhammed Talha Zavalsız,Sleiman Alhajj,Kashfia Sailunaz,Tansel Ozyer,Reda Alhajj

#Deep learning #medical image #pancreatic tumor detection #convolutional neural networks #pancreatic ductal adenocarcinoma

Estimation Model for Enhanced Predictive Object Point Metric in OO Software Size Estimation Using Deep Learning

Vijay Yadav,Raghuraj Singh,Vibhash Yadav

#Effort estimation #functional size measurement #object orientation predictive object point #software metrics #software measurement

Human Facial Emotion Recognition using Deep Neural Networks

Benisha S,Mirnalinee TT

#Neural Network #deep neural networks #facial expression #emotion recognition system

An Adaptive Traffic Lights System using Machine Learning

Mohammad Ashraf Ottom,Ahmad Al-Omari

#Traffic time management #image processing and objects detection #vehicles dataset

A Software Tool for Automatic Generation of Neural Hardware

Madeira Interactive Technologies Institute and Comp etence Centre for Exact Sciences and Engineering,

# Artificial neural networks # feedforward neural netw orks # system generator # matlab # xilinx # simulink # integrated software environment

Efficient Segmentation of Arabic Handwritten

Department of Electronics and Computer Engineering, Universiti Teknologi Malaysia, Malaysia

#Arabic handwriting # character segmentation and structural features

Forecasting of Chaotic Time Series Using RBF

Faculty of Engineering and Information Technology, Arab American University, Palestine

#Time series forecasting # RBF neural networks # genetic algorithms # hybrid approach

Audiovisual Speaker Identification Based on Lip and Speech Modalities

Abstract: In this article, we pre sent a bimodal speaker identification method, which integrates both acoustic and visual

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Enhanced Hybrid Prediction Models for Time Series Prediction

as artificial neural networks are considered to be better for prediction of data with non-linear patterns. In the real-life, time-

#Hybrid model # adaptive neuro-fuzzy inference systems # soft computing # neural network # statistical techniques