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Neural Computing and Applications

Ausgabe 13/2022

Special Issue on Effective and Efficient Deep Learning (pp. 10205/10560)

Inhalt (58 Artikel)

S. I. : Effective and Efficient Deep Learning

A deep learning-based resource usage prediction model for resource provisioning in an autonomic cloud computing environment

Mahfoudh Saeed Al-Asaly, Mohamed A. Bencherif, Ahmed Alsanad, Mohammad Mehedi Hassan

S. I. : Effective and Efficient Deep Learning

Citation recommendation employing heterogeneous bibliographic network embedding

Zafar Ali, Guilin Qi, Khan Muhammad, Siddhartha Bhattacharyya, Irfan Ullah, Waheed Abro

Open Access S. I. : Effective and Efficient Deep Learning

A deep embedded refined clustering approach for breast cancer distinction based on DNA methylation

Rocío del Amor, Adrián Colomer, Carlos Monteagudo, Valery Naranjo

S. I. : Effective and Efficient Deep Learning

On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification

Alejandro Barredo Arrieta, Sergio Gil-Lopez, Ibai Laña, Miren Nekane Bilbao, Javier Del Ser

S. I. : Effective and Efficient Deep Learning

Cognitive name-face association through context-aware Graph Neural Network

Giuseppe Fenza, Mariacristina Gallo, Vincenzo Loia, Alberto Volpe

S.I. : Effective and Efficient Deep Learning

Using a Multi-view Convolutional Neural Network to monitor solar irradiance

Javier Huertas-Tato, Inés M. Galván, Ricardo Aler, Francisco Javier Rodríguez-Benítez, David Pozo-Vázquez

S. I.: Effective and Efficient Deep Learning

Suicidal ideation and mental disorder detection with attentive relation networks

Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria

S. I. : Effective and Efficient Deep Learning

Iterative neural networks for adaptive inference on resource-constrained devices

Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt

S. I. : Effective and Efficient Deep Learning

Combined angular margin and cosine margin softmax loss for music classification based on spectrograms

Jingxian Li, Lixin Han, Yang Wang, Baohua Yuan, Xiaofeng Yuan, Yi Yang, Hong Yan

S. I. : Effective and Efficient Deep Learning

Federated meta-learning for spatial-temporal prediction

Wenzhu Li, Shuang Wang

Open Access S. I. : Effective and Efficient Deep Learning

Real-time polyp detection model using convolutional neural networks

Alba Nogueira-Rodríguez, Rubén Domínguez-Carbajales, Fernando Campos-Tato, Jesús Herrero, Manuel Puga, David Remedios, Laura Rivas, Eloy Sánchez, Águeda Iglesias, Joaquín Cubiella, Florentino Fdez-Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, Daniel Glez-Peña

S.I. : Effective and Efficient Deep Learning

Toward hardware-aware deep-learning-based dialogue systems

Vlad Pandelea, Edoardo Ragusa, Tom Young, Paolo Gastaldo, Erik Cambria

S. I. : Effective and Efficient Deep Learning

An ensemble of deep transfer learning models for handwritten music symbol recognition

Ashis Paul, Rishav Pramanik, Samir Malakar, Ram Sarkar

Open Access S. I. : Effective and Efficient Deep Learning

An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis

Eduardo Pérez, Sebastián Ventura

Open Access S. I.: Effective and Efficient Deep Learning

Deep learning-based ambient assisted living for self-management of cardiovascular conditions

Maria Ahmed Qureshi, Kashif Naseer Qureshi, Gwanggil Jeon, Francesco Piccialli

Open Access S. I. : Effective and Efficient Deep Learning

Optimized convolutional neural network architectures for efficient on-device vision-based object detection

Ivan Rodriguez-Conde, Celso Campos, Florentino Fdez-Riverola

Open Access S. I. : Effective and Efficient Deep Learning

Deep learning and fuzzy logic to implement a hybrid wind turbine pitch control

J. Enrique Sierra-Garcia, Matilde Santos

Open Access S. I. : Effective and Efficient Deep Learning

Novel convolutional neural networks for efficient classification of rotated and scaled images

Paweł Tarasiuk, Piotr S. Szczepaniak

Open Access S. I. : Effective and Efficient Deep Learning

A deep LSTM network for the Spanish electricity consumption forecasting

J. F. Torres, F. Martínez-Álvarez, A. Troncoso

S. I. : Effective and Efficient Deep Learning

FCSF-TABS: two-stage abstractive summarization with fact-aware reinforced content selection and fusion

Mengli Zhang, Gang Zhou, Wanting Yu, Wenfen Liu, Ningbo Huang, Ze Yu

Review

Rule-based adversarial sample generation for text classification

Nai Zhou, Nianmin Yao, Jian Zhao, Yanan Zhang

Original Article

A deep reinforcement learning process based on robotic training to assist mental health patients

Torki Altameem, Mohammed Amoon, Ayman Altameem

Original Article

RETRACTED ARTICLE: Hybrid method for mining rules based on enhanced Apriori algorithm with sequential minimal optimization in healthcare industry

M. Sornalakshmi, S. Balamurali, M. Venkatesulu, M. Navaneetha Krishnan, Lakshmana Kumar Ramasamy, Seifedine Kadry, Gunasekaran Manogaran, Ching-Hsien Hsu, Bala Anand Muthu

Original Article

Proposed neural SAE-based medical image cryptography framework using deep extracted features for smart IoT healthcare applications

Walid El-Shafai, Fatma Khallaf, El-Sayed M. El-Rabaie, Fathi E. Abd El-Samie

Original Article

Defect detection of photovoltaic glass based on level set map

Shuai Dong, Chen Chen, Yihui Liang, Kun Zou, Guisong Liu

Original Article

CDNet: a real-time and robust crosswalk detection network on Jetson nano based on YOLOv5

Zheng-De Zhang, Meng-Lu Tan, Zhi-Cai Lan, Hai-Chun Liu, Ling Pei, Wen-Xian Yu

Original Article

Groundwater level prediction using machine learning algorithms in a drought-prone area

Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, Ahmed Elbeltagi, Francesco Granata, Abu Reza Md. Towfiqul Islam, Swapan Talukdar, X. Cuong Nguyen, Ali Najah Ahmed, Duong Tran Anh

Original Article

High-performance intrusion detection system for networked UAVs via deep learning

Qasem Abu Al-Haija, Ahmad Al Badawi

Original Article

COMPOSV: compound feature extraction and depthwise separable convolution-based online signature verification

Chandra Sekhar Vorugunti, Viswanath Pulabaigari, Prerana Mukherjee, Avinash Gautam

Original Article

SKG-Learning: a deep learning model for sentiment knowledge graph construction in social networks

Bo Zhang, Yue Hu, Duo Xu, Maozhen Li, Meizi Li

Original Article

Classifying nanostructured and heterogeneous materials from transmission electron microscopy images using convolutional neural networks

Carlos Cabrera, David Cervantes, Franklin Muñoz, Gustavo Hirata, Patricia Juárez, Dora-Luz Flores

Original Article

Structural recurrent neural network models for earthquake prediction

Aydın Doğan, Engin Demir

Deep Learning for Biomedical and Healthcare Applications

Scene guided colorization using neural networks

Yu Xia, Shiru Qu, Shaohua Wan

S.I. : Advances in Bio-Inspired Intelligent Systems

Automatic detection of cyclic alternating pattern

Fábio Mendonça, Ana Fred, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-García

Original Article

Disturbance rejection and high dynamic quadrotor control based on reinforcement learning and supervised learning

Mingjun Li, Zhihao Cai, Jiang Zhao, Jinyan Wang, Yingxun Wang

Original Article

FP-SMA: an adaptive, fluctuant population strategy for slime mould algorithm

Jassim Alfadhli, Ali Jaragh, Mohammad Gh. Alfailakawi, Imtiaz Ahmad

Original Article

Supplementary-architecture weight-optimization neural networks

Jared O’Reilly, Nelishia Pillay

Original Article

A neural network-based model for estimating the delivery time of oxygen gas cylinders during COVID-19 pandemic

Ahmed M. Ghaithan, Ibrahim Alarfaj, Awsan Mohammed, Osaid Qasim

Original Article

Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction

Humphrey Adun, Ifeoluwa Wole-Osho, Eric C. Okonkwo, Tonderai Ruwa, Terfa Agwa, Kenechi Onochie, Henry Ukwu, Olusola Bamisile, Mustafa Dagbasi