Multicasting Strategies for Increasing Network Efficiency in 5G Using Deep Learning

Wael AlZoubi,Hazem Hatamleh

#Multicasting #network performance #artificial intelligence #deep Q-networks #deep reinforcement learning #quality of service

A Novel Space-Efficient Method for Detecting Network-Wide Heavy Hitters in Software-Defined Networking Using P4-Switch

Ali Alhaj,Wilson Bhukya,Rajendra Lal

#Software-defined networking security #heavy-hitter detection #P4 switch #network monitoring #space-saving #sketches

EEG Signal Recognition of VR Education Game Players Based on Hybrid Improved Wavelet Threshold and LSTM

Yang Li,Haiyu Zhang

#EEG signal #wavelet threshold method #LSTM #VR #EEMD

A New (k, n) Secret Image Sharing Scheme (SISS)

Amitava Nag,Sushanta Biswas,Debasree Sarkar,Partha Sarkar

#complete graph #spanning tree #Prüfer sequence #(k # n) threshold secret image sharing

An Unsupervised Feed Forward Neural Network Method for Efficient Clustering

Roya Asadi,Mitra Asadi,Shokoofeh Asadi

#Artificial neural network #feed forward neural network #unsupervised learning #clustering #real weight

Brain Tumor Segmentation in MRI Images Using Integrated Modified PSO Fuzzy Approach

Abstract: An image segmentation technique based on maximum fu zzy entropy is applied for Magnetic Resonance (MR) brain

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Developing a Novel Approach for Content Based

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Optimum Threshold Parameter Estimation of

MohammadMotiur Rahman1, MithunKumar Pk1, and MohammadShorif Uddin2 1Department of Computer Science and Engineering, Maw lana Bhashani Science and

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A Vision Approach for Expiry Date Recognition using Stretched Gabor Features

Abstract: Product"expiry date represent important information for products consumption. They must contain clear

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Automated Retinal Vessel Segmentation using

Soumia Belhadi and Nadjia Benblidia

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An Artificial Neural Network Approach for

Department of Computer Science, COMSATS Institute o f Information Technology, Pakistan

#Sentence boundary identification # feed forwardneura l network # back propagation learning algorithm

A Novel Fast Otsu Digital Image Segmentation

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Khaled Omer1 and Daya Lobiyal2 1Faculty of Engineering, School of Computer and Syst ems Sciences, University of Aden, Yemen 2Faculty of Computer and System Science, Nehru Unive rsity, India

#Markov chain # location update # home agent # quorum # grid location service

A Cross-Layer Based Intrusion Detection Technique for Wireless Networks

Abstract: In this paper, we propose to design a cross-layer b ased intrusion detection technique for wireless networks. In this

# Intrusion detection # wireless networks # RSS # cross layer # RTS-CTS handshake # TT

Person-Independent Facial Expression Recognition Based on Compound Local Binary Pattern (CLBP)

2Samsung Bangladesh R & D Center Ltd, Bangladesh 3Department of Computer Science and Engineering, Ahs anullah University of Science and Technology,

# Facial expression recognition # feature descriptor # LBP # SVM # texture encoding

Diagnosis of Leptomeningeal Metastases Disease in MRI Images by Using Image Enhancement

#Cerebrospinal Fluid (CSF) examination # Computed Tomography (CT) # Image Enhancement methods # Leptomeningeal Metastases # Magnetic Resonance Imaging (MRI)

Rule Schema Multi-Level for Local Patterns Analysis: Application in Production Field

Abstract: Recently, Multi-Database Mining (MDBM) for association rules has been recognized as an important and timely

#Schema # association rules # exceptional rules # global rules # ontology

Fingerprint Verification Methods Using

Instituto Politécnico Nacional, Sección de Estudios de Posgrado e Investigación, Unidad Culhuacán,

#Angle of orientation # delaunay triangulation # EER # fingerprint # geometric thresholds

Detection of Neovascularization in Proliferative Diabetic Retinopathy Fundus Images

Abstract: Neovascularization is a serious visual consequence disease arising from Proliferative Diabetic Retinopathy (PDR).

#Diabetic retinopathy # neovascularization # fuzzy C-means clustering # compactness classifier # feature extraction # neural network

Identification of an Efficient Filtering- Segmentation Technique for Automated Counting

Abstract: The counting of fish fingerlings is an important process in determining the accurate consumption of feeds for a

#Digital image processing # filtering # segmentation # image normalization # threshold