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Neural Computing and Applications

Ausgabe 20/2020

Special Issue on Advances in Bio-Inspired Intelligent Systems (pp. 15673/15844)/ Recent Advances in Deep Learning for Medical Image Processing (pp. 15845/16009)/ Applying Artificial Intelligence to the Internet of Things (pp. 16011/16233)

Inhalt (43 Artikel)

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

Comparison of offline and real-time human activity recognition results using machine learning techniques

Jozsef Suto, Stefan Oniga, Claudiu Lung, Ioan Orha

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

Automatic computer vision-based detection and quantitative analysis of indicative parameters for grading of diabetic retinopathy

Ashish Issac, Malay Kishore Dutta, Carlos M. Travieso

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

Neural networks fusion for temperature forecasting

José Gustavo Hernández-Travieso, Antonio G. Ravelo-García, Jesús B. Alonso-Hernández, Carlos M. Travieso-González

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

Comparison of SFS and mRMR for oximetry feature selection in obstructive sleep apnea detection

Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-García

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

Writer identification approach by holistic graphometric features using off-line handwritten words

José L. Vásquez, Antonio G. Ravelo-García, Jesús B. Alonso, Malay Kishore Dutta, Carlos M. Travieso

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

Towards robust voice pathology detection

Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez, Jiri Mekyska, Radim Burget, Zdenek Smekal

Correction

Correction to: Towards robust voice pathology detection

Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez, Jiri Mekyska, Radim Burget, Zdenek Smekal

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

On the analysis of speech and disfluencies for automatic detection of Mild Cognitive Impairment

K. López-de-Ipiña, U. Martinez-de-Lizarduy, P. M. Calvo, B. Beitia, J. García-Melero, E. Fernández, M. Ecay-Torres, M. Faundez-Zanuy, P. Sanz

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

Control structure for a car-like robot using artificial neural networks and genetic algorithms

Camilo Andrés Cáceres Flórez, João Maurício Rosário, Dario Amaya

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

Evaluation and analysis of ear recognition models: performance, complexity and resource requirements

Žiga Emeršič, Blaž Meden, Peter Peer, Vitomir Štruc

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

Monitoring ALS from speech articulation kinematics

Pedro Gómez, Ana R. M. Londral, Andrés Gómez, Daniel Palacios, Victoria Rodellar

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

Design of sEMG-based clench force estimator in FPGA using artificial neural networks

Sheikh Shanawaz Mostafa, Md. Abdul Awal, Mohiuddin Ahmad, Fernando Morgado-Dias

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

Comparing different solutions for forecasting the energy production of a wind farm

Darío Baptista, João Paulo Carvalho, Fernando Morgado-Dias

Advances in Bio-Inspired Intelligent Systems

A global monitoring system for electricity consumption and production of household roof-top PV systems in Madeira

Roham Torabi, Sandy Rodrigues, Nuno Cafôfo, Lucas Pereira, Filipe Quintal, Nuno Nunes, Fernando Morgado-Dias

Recent Advances in Deep Learning for Medical Image Processing

Automatic lung segmentation in low-dose chest CT scans using convolutional deep and wide network (CDWN)

S. Akila Agnes, J. Anitha, J. Dinesh Peter

Recent Advances in Deep Learning for Medical Image Processing

A deep convolutional neural network model for automated identification of abnormal EEG signals

Özal Yıldırım, Ulas Baran Baloglu, U. Rajendra Acharya

Recent Advances in Deep Learning for Medical Image Processing

Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters

Manish Sharma, Ru-San Tan, U. Rajendra Acharya

Recent Advances in Deep Learning for Medical Image Processing

Enhanced vascular and osseous information fusion: disagreement of quantitative and qualitative analysis

Ayush Dogra, Bhawna Goyal, Sunil Agrawal, Urcun John Tanik, Sanjeev Kumar, Ramesh Sunder Nayak

Recent Advances in Deep Learning for Medical Image Processing

A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

Steven Lawrence Fernandes, U. John Tanik, V. Rajinikanth, K. Arvind Karthik

Recent Advances in Deep Learning for Medical Image Processing

Prediction analytics of myocardial infarction through model-driven deep deterministic learning

Uzair Iqbal, Teh Ying Wah, Muhammad Habib ur Rehman, Jamal Hussain Shah

Recent Advances in Deep Learning for Medical Image Processing

An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection

M. Attique Khan, Tallha Akram, Muhammad Sharif, Kashif Javed, Muhammad Rashid, Syed Ahmad Chan Bukhari

Recent Advances in Deep Learning for Medical Image Processing

Deep architectures for high-resolution multi-organ chest X-ray image segmentation

Oscar Gómez, Pablo Mesejo, Oscar Ibáñez, Andrea Valsecchi, Oscar Cordón

Recent Advances in Deep Learning for Medical Image Processing

Brain tumor detection: a long short-term memory (LSTM)-based learning model

Javaria Amin, Muhammad Sharif, Mudassar Raza, Tanzila Saba, Rafiq Sial, Shafqat Ali Shad

S.I. : Recent Advances in Deep Learning for Medical Image Processing

Brain tumor detection based on extreme learning

Muhammad Sharif, Javaria Amin, Mudassar Raza, Muhammad Almas Anjum, Humaira Afzal, Shafqat Ali Shad

S.I.: Recent Advances in Deep Learning for Medical Image Processing

ROI-based feature learning for efficient true positive prediction using convolutional neural network for lung cancer diagnosis

Supriya Suresh, Subaji Mohan

Applying Artificial Intelligence to the Internet of Things

Firefly-inspired stochastic resonance for spectrum sensing in CR-based IoT communications

Haftu Tasew Reda, Abdun Mahmood, Abebe Diro, Naveen Chilamkurti, Suresh Kallam

Applying Artificial Intelligence to the Internet of Things

BP neural network-based ABEP performance prediction for mobile Internet of Things communication systems

Lingwei Xu, Jingjing Wang, Han Wang, T. Aaron Gulliver, Khoa N. Le

S.I. : Applying Artificial Intelligence to the Internet of Things

Evidence of power-law behavior in cognitive IoT applications

Sujit Bebortta, Dilip Senapati, Nikhil Kumar Rajput, Amit Kumar Singh, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Jia Qian, Prayag Tiwari

S.I. : Applying Artificial Intelligence to the Internet of Things

Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making

Tharindu Bandaragoda, Achini Adikari, Rashmika Nawaratne, Dinithi Nallaperuma, Ashish Kr. Luhach, Thimal Kempitiya, Su Nguyen, Damminda Alahakoon, Daswin De Silva, Naveen Chilamkurti

S.I. : Applying Artificial Intelligence to the Internet of Things

Deep neural learning techniques with long short-term memory for gesture recognition

Deepak Kumar Jain, Aniket Mahanti, Pourya Shamsolmoali, Ramachandran Manikandan

S.I. : Applying Artificial Intelligence to the Internet of Things

An optimal pruning algorithm of classifier ensembles: dynamic programming approach

Omar A. Alzubi, Jafar A. Alzubi, Mohammed Alweshah, Issa Qiqieh, Sara Al-Shami, Manikandan Ramachandran

S.I. : Applying Artificial Intelligence to the Internet of Things

Deep neural network-based clustering technique for secure IIoT

Amrit Mukherjee, Pratik Goswami, Lixia Yang, Sumarga K. Sah Tyagi, U. C. Samal, S. K. Mohapatra

S.I. : Applying Artificial Intelligence to the Internet of Things

AI4SAFE-IoT: an AI-powered secure architecture for edge layer of Internet of things

Hamed HaddadPajouh, Raouf Khayami, Ali Dehghantanha, Kim-Kwang Raymond Choo, Reza M. Parizi

S.I. : Applying Artificial Intelligence to the Internet of Things

A hybrid classifier combination for home automation using EEG signals

Partha Pratim Roy, Pradeep Kumar, Victor Chang

S.I. : Applying Artificial Intelligence to the Internet of Things

Natural language understanding approaches based on joint task of intent detection and slot filling for IoT voice interaction

Pin Ni, Yuming Li, Gangmin Li, Victor Chang

S.I. : Applying Artificial Intelligence to the Internet of Things

AI for dynamic packet size optimization of batteryless IoT nodes: a case study for wireless body area sensor networks

Hamed Osouli Tabrizi, Fadi Al-Turjman

S.I.: Applying Artificial Intelligence to the Internet of Things

Artificial intelligence-based load optimization in cognitive Internet of Things

Wei Yao, Fazlullah Khan, Mian Ahmad Jan, Nadir Shah, Izaz ur Rahman, Abid Yahya, Ateeq ur Rehman

S.I. : Applying Artificial Intelligence to the Internet of Things

A deep neural network-based model for named entity recognition for Hindi language

Richa Sharma, Sudha Morwal, Basant Agarwal, Ramesh Chandra, Mohammad S. Khan

S.I. : Applying Artificial Intelligence to the Internet of Things

Machine learning and data analytics for the IoT

Erwin Adi, Adnan Anwar, Zubair Baig, Sherali Zeadally

Review Article

Deep learning architecture to predict daily hospital admissions

Ricardo Navares, José L. Aznarte

Review

Whale optimization algorithm: a systematic review of contemporary applications, modifications and developments

Nadim Rana, Muhammad Shafie Abd Latiff, Shafi’i Muhammad Abdulhamid, Haruna Chiroma

Original Article

Fractional chaos maps with flower pollination algorithm for chaotic systems’ parameters identification

Dalia Yousri, Dalia Allam, Thanikanti Sudhakar Babu, Amr M. AbdelAty, Ahmed G. Radwan, Vigna. K. Ramachandaramurthy, M. B. Eteiba