Neural computing & applications

Keyphrases

Publications

2023

Balaji Annamalai, Prabakeran Saravanan, Indumathi Varadharajan
ABOA-CNN: auction-based optimization algorithm with convolutional neural network for pulmonary disease prediction. Neural computing & applications (2023)
Balaji Annamalai, Prabakeran Saravanan, Indumathi Varadharajan
ABOA-CNN: auction-based optimization algorithm with convolutional neural network for pulmonary disease prediction. Neural computing & applications (2023)
Nora Alturayeif, Hamzah Luqman, Moataz Ahmed
A systematic review of machine learning techniques for stance detection and its applications. Neural computing & applications (2023)
Tengku Mazlin Tengku Ab Hamid, Roselina Sallehuddin, Zuriahati Mohd Yunos, Aida Ali
Ensemble filters with harmonize PSO-SVM algorithm for optimal hearing disorder prediction. Neural computing & applications (2023)
Zuhal Kurt, Şahin Işık, Zeynep Kaya, Yıldıray Anagün, Nizameddin Koca, Sümeyye Çiçek
Evaluation of EfficientNet models for COVID-19 detection using lung parenchyma. Neural computing & applications (2023)
Ria Jha, Ena Motwani, Nivedita Singhal, Rishabh Kaushal
Towards automated check-worthy sentence detection using Gated Recurrent Unit. Neural computing & applications (2023)
Nora Alturayeif, Hamzah Luqman, Moataz Ahmed
A systematic review of machine learning techniques for stance detection and its applications. Neural computing & applications (2023)
Mughees Ahmad, Usama Ijaz Bajwa, Yasar Mehmood, Muhammad Waqas Anwar
Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography images. Neural computing & applications (2023)
Serpil Aslan, Soner Kızıloluk, Eser Sert
TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm. Neural computing & applications (2023)
Serpil Aslan, Soner Kızıloluk, Eser Sert
TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm. Neural computing & applications (2023)
Tengku Mazlin Tengku Ab Hamid, Roselina Sallehuddin, Zuriahati Mohd Yunos, Aida Ali
Ensemble filters with harmonize PSO-SVM algorithm for optimal hearing disorder prediction. Neural computing & applications (2023)
Longzhi Yang, Vijayakumar Varadarajan, Yanpeng Qu
Special issue on neuro, fuzzy and their hybridization. Neural computing & applications (2023)

volume 36, number 2, 2023

Federico Cornalba, Constantin Disselkamp, Davide Scassola, Christopher Helf
Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural computing & applications 36 (2) (2023)
Federico Cornalba, Constantin Disselkamp, Davide Scassola, Christopher Helf
Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading. Neural computing & applications 36 (2) (2023)

volume 35, number 10, 2023

Longzhi Yang, Vijayakumar Varadarajan, Yanpeng Qu
Special issue on neuro, fuzzy and their hybridization. Neural computing & applications 35 (10) (2023)
Balaji Annamalai, Prabakeran Saravanan, Indumathi Varadharajan
ABOA-CNN: auction-based optimization algorithm with convolutional neural network for pulmonary disease prediction. Neural computing & applications 35 (10) (2023)

volume 35, number 13, 2023

Jinfei Zhou, Yaping Zhu, Yana Zhang, Cheng Yang, Hong Pan
Spatial-aware topic-driven-based image Chinese caption for disaster news. Neural computing & applications 35 (13) (2023)
Joydeep Dey
State-of-the-art session key generation on priority-based adaptive neural machine (PANM) in telemedicine. Neural computing & applications 35 (13) (2023)

volume 35, number 14, 2023

Nora El-Rashidy, Ahmed Sedik, Ali I Siam, Zainab H Ali
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural computing & applications 35 (14) (2023)
Soleiman Kadkhoda Mohammadi, Daryoush Nazarpour, Mojtaba Beiraghi
A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization. Neural computing & applications 35 (14) (2023)
Soleiman Kadkhoda Mohammadi, Daryoush Nazarpour, Mojtaba Beiraghi
A novel metaheuristic algorithm inspired by COVID-19 for real-parameter optimization. Neural computing & applications 35 (14) (2023)
Nora El-Rashidy, Ahmed Sedik, Ali I Siam, Zainab H Ali
An efficient edge/cloud medical system for rapid detection of level of consciousness in emergency medicine based on explainable machine learning models. Neural computing & applications 35 (14) (2023)

volume 35, number 15, 2023

S Sivamohan, S S Sridhar
An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework. Neural computing & applications 35 (15) (2023)
Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. Neural computing & applications 35 (15) (2023)
Zhongliang Li, Xuechen Li, Zhihao Jin, Linlin Shen
Learning from pseudo-lesion: a self-supervised framework for COVID-19 diagnosis. Neural computing & applications 35 (15) (2023)
C Ashwini, V Sellam
EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction. Neural computing & applications 35 (15) (2023)
C Ashwini, V Sellam
EOS-3D-DCNN: Ebola optimization search-based 3D-dense convolutional neural network for corn leaf disease prediction. Neural computing & applications 35 (15) (2023)
S Sivamohan, S S Sridhar
An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework. Neural computing & applications 35 (15) (2023)

volume 35, number 16, 2023

Luca Parisi, Marianne Lyne Manaog
Innovative feature-driven machine learning and deep learning for finance, education, and healthcare. Neural computing & applications 35 (16) (2023)

volume 35, number 17, 2023

Juliana Verga Shirabayashi, Ana Silvia Moretto Braga, Jair da Silva
Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection. Neural computing & applications 35 (17) (2023)
Navneet Verma, Sukhdip Singh, Devendra Prasad
Performance analysis and comparison of Machine Learning and LoRa-based Healthcare model. Neural computing & applications 35 (17) (2023)
Juliana Verga Shirabayashi, Ana Silvia Moretto Braga, Jair da Silva
Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection. Neural computing & applications 35 (17) (2023)
Navneet Verma, Sukhdip Singh, Devendra Prasad
Performance analysis and comparison of Machine Learning and LoRa-based Healthcare model. Neural computing & applications 35 (17) (2023)

volume 35, number 18, 2023

M Emin Sahin, Hasan Ulutas, Esra Yuce, Mustafa Fatih Erkoc
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images. Neural computing & applications 35 (18) (2023)
M Emin Sahin, Hasan Ulutas, Esra Yuce, Mustafa Fatih Erkoc
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images. Neural computing & applications 35 (18) (2023)
Md Rajib Hossain, Mohammed Moshiul Hoque, Nazmul Siddique, Iqbal H Sarker
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion. Neural computing & applications 35 (18) (2023)
Md Rajib Hossain, Mohammed Moshiul Hoque, Nazmul Siddique, Iqbal H Sarker
CovTiNet: Covid text identification network using attention-based positional embedding feature fusion. Neural computing & applications 35 (18) (2023)

volume 35, number 19, 2023

Lidia Ogiela, Arcangelo Castiglione, Brij B Gupta, Dharma P Agrawal
IoT-based health monitoring system to handle pandemic diseases using estimated computing. Neural computing & applications 35 (19) (2023)
Mohamed Farhat, Salah Kamel, Ahmed M Atallah, Almoataz Y Abdelaziz, Marcos Tostado-Véliz
Developing a strategy based on weighted mean of vectors (INFO) optimizer for optimal power flow considering uncertainty of renewable energy generation. Neural computing & applications 35 (19) (2023)

volume 35, number 20, 2023

Mian Ahmad Jan, Houbing Song, Fazlullah Khan, Ateeq Ur Rehman, Lie-Liang Yang
Topical collection on machine learning for big data analytics in smart healthcare systems. Neural computing & applications 35 (20) (2023)
Yasmeen ELsayed, Ashraf ELSayed, Mohamed A Abdou
An automatic improved facial expression recognition for masked faces. Neural computing & applications 35 (20) (2023)
Bahareh Rezazadeh, Parvaneh Asghari, Amir Masoud Rahmani
Computer-aided methods for combating Covid-19 in prevention, detection, and service provision approaches. Neural computing & applications 35 (20) (2023)

volume 35, number 21, 2023

Iyad Abu Doush, Mohammed A Awadallah, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Sharif Naser Makhadmeh, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri
Archive-based coronavirus herd immunity algorithm for optimizing weights in neural networks. Neural computing & applications 35 (21) (2023)
Mehmet Şirin Gündüz, Gültekin Işık
A new YOLO-based method for social distancing from real-time videos. Neural computing & applications 35 (21) (2023)
Zijing Yuan, Shangce Gao, Yirui Wang, Jiayi Li, Chunzhi Hou, Lijun Guo
Prediction of PM2.5 time series by seasonal trend decomposition-based dendritic neuron model. Neural computing & applications 35 (21) (2023)
Murugappan Murugappan, Ali K Bourisly, N B Prakash, M G Sumithra, U Rajendra Acharya
Automated semantic lung segmentation in chest CT images using deep neural network. Neural computing & applications 35 (21) (2023)

volume 35, number 23, 2023

Şefki Kolozali, Lia Chatzidiakou, Roderic Jones, Jennifer K Quint, Frank Kelly, Benjamin Barratt
Early detection of COPD patients' symptoms with personal environmental sensors: a remote sensing framework using probabilistic latent component analysis with linear dynamic systems. Neural computing & applications 35 (23) (2023)
Carlos Celemin, Jens Kober
Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback. Neural computing & applications 35 (23) (2023)

volume 35, number 7, 2023

Nora Alturayeif, Hamzah Luqman, Moataz Ahmed
A systematic review of machine learning techniques for stance detection and its applications. Neural computing & applications 35 (7) (2023)
Nora Alturayeif, Hamzah Luqman, Moataz Ahmed
A systematic review of machine learning techniques for stance detection and its applications. Neural computing & applications 35 (7) (2023)