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Deep learning-based comprehensive review on pulmonary tuberculosis Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-04-01
Abstract In areas with high tuberculosis (TB) prevalence, high mortality rate has significantly increased over the past few decades. Even though tuberculosis can be treated, areas with high disease burden continue to have insufficient screening tools, leading to diagnostic delays and incorrect diagnoses. As a result of these challenges, a computer-aided diagnostics (CAD) system has been developed that
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A predictive analytics framework for sensor data using time series and deep learning techniques Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-04-01
Abstract IoT devices convert billions of objects into data-generating entities, enabling them to report status and interact with their surroundings. This data comes in various formats, like structured, semi-structured, or unstructured. In addition, it can be collected in batches or in real time. The problem now is how to benefit from all of this data gathered by sensing and monitoring changes like
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Micro drill defect detection with hybrid BP networks, clusters selection and crossover Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 Dong-yuan Ge, Rui-xuan Su, Xi-fan Yao, Jian Li
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A novel formulation for predicting the shear strength of RC walls using meta-heuristic algorithms Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 Payam Parsa, Hosein Naderpour, Nima Ezami
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A new deep neuro-fuzzy system for Lyme disease detection and classification using UNet, Inception, and XGBoost model from medical images Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 S. Vishnu Priyan, S. Dhanasekaran, P. Vivek Karthick, D. Silambarasan
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Yaru3DFPN: a lightweight modified 3D UNet with feature pyramid network and combine thresholding for brain tumor segmentation Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati, Choiru Za’in
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Estimation of solar cell parameters through utilization of adaptive sine–cosine particle swarm optimization algorithm Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 Mohamed Issa, Ahmed M. Helmi, Mohamed Ghetas
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A novel decomposition-based architecture for multilingual speech emotion recognition Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02
Abstract Multilingual speech emotion recognition (MLSER) is a significant and demanding research domain to improve the utility of human–computer interaction systems. Identifying the emotions from the spoken sentence is one of the most challenging tasks due to the dependency of the MLSER system on spoken languages. This study proposes a novel decomposition-based architecture for MLSER. The architecture
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A topic-enhanced dirichlet model for short text stream clustering Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 Kan Liu, Jiarui He, Yu Chen
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On the adversarial robustness of generative autoencoders in the latent space Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-03-02 Mingfei Lu, Badong Chen
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Detecting SQL injection attacks by binary gray wolf optimizer and machine learning algorithms Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-27 Bahman Arasteh, Babak Aghaei, Behnoud Farzad, Keyvan Arasteh, Farzad Kiani, Mahsa Torkamanian-Afshar
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VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-22 S. Poornam, J. Jane Rubel Angelina
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Deep image matting with cross-layer contextual information propagation Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-20 Fenfen Zhou, Yingjie Tian, Siyu Zhu
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Enhancing age-related postural sway classification using partial least squares-discriminant analysis and hybrid feature set Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-13 Veysel Alcan
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SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-12 Rui Zhong, Jun Yu, Chao Zhang, Masaharu Munetomo
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Quran reciter identification using NASNetLarge Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-05 Hebat-Allah Saber, Ahmed Younes, Mohamed Osman, Islam Elkabani
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A comprehensive exploration of deep learning approaches for pulmonary nodule classification and segmentation in chest CT images Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-04 Murat Canayaz, Sanem Şehribanoğlu, Mesut Özgökçe, M. Bilal Akıncı
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A novel lightweight CNN-based error-reduced carry prediction approximate full adder design for multimedia applications Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-02 R. Nishanth, C. Helen Sulochana
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Artificial intelligence-based camel face identification system for sustainable livestock farming Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-01
Abstract Artificial intelligence and machine learning have recently been applied to improve agricultural and livestock applications. The precise estimation, recommendations, and performances are the main justifications for using technology. The knowledge that can be gained from animal detection and tracking in videos is useful for monitoring body condition, calving processes, behavior analysis, and
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IPSHO-Fed: a hybrid federated learning and spotted hyena optimization approach for trust assessment Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-22 R. Devi
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The efficiency of hybrid intelligent models to evaluate the effect of the size of sand and clay metakaolin content on various compressive strength ranges of cement mortar Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-20 Aso A. Abdalla, Ahmed Salih Mohammed
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Predicting triplanar and bidirectional movements for a transtibial prosthesis for rehabilitation using intelligent neural networks Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-18 Jesus de la Cruz-Alejo, J. Antonio Lobato-Cadena, M. Belem Arce-Vázquez, Agustin Mora-Ortega
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Customer satisfaction analysis with Saudi Arabia mobile banking apps: a hybrid approach using text mining and predictive learning techniques Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-17 Mesfer Alrizq, Abdullah Alghamdi
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Rainfall forecasting at long lead times for eastern Australia using artificial neural networks Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-16 John Abbot
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A deep learning approach for early detection of drought stress in maize using proximal scale digital images Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-01 Pooja Goyal, Rakesh Sharda, Mukesh Saini, Mukesh Siag
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Breast lesion classification from mammograms using deep neural network and test-time augmentation Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-02-01 Parita Oza, Paawan Sharma, Samir Patel
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Modeling transformer architecture with attention layer for human activity recognition Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-10 Gunjan Pareek, Swati Nigam, Rajiv Singh
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An accurate algorithm for land surface changes detection based on deep learning and improved pixel clustering using SAR images Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-10 Mohammed Jawad Al-Dujaili
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Multimodal fusion for audio-image and video action recognition Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-09
Abstract Multimodal Human Action Recognition (MHAR) is an important research topic in computer vision and event recognition fields. In this work, we address the problem of MHAR by developing a novel audio-image and video fusion-based deep learning framework that we call Multimodal Audio-Image and Video Action Recognizer (MAiVAR). We extract temporal information using image representations of audio
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CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-08 Runyu Zhang, Jian Tang, Heng Xia, Xiaotong Pan, Wen Yu, Junfei Qiao
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Classification of anemia using Harris hawks optimization method and multivariate adaptive regression spline Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-10 Nagihan Yagmur, İdiris Dag, Hasan Temurtas
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Comprehensive comparison of modified deep convolutional neural networks for automated detection of external and middle ear conditions Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-10 Kemal Akyol
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SW/SE-CNN: semi-wavelet and specific image edge extractor CNN for Gaussian image denoising Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-08 Shahram Esteki, Ahmad R. Naghsh-Nilchi
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Machine learning-based novel continuous authentication system using soft keyboard typing behavior and motion sensor data Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-07 Ensar Arif Sağbaş, Serkan Ballı
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The multiple relationships among knowledge heterogeneity, knowledge transfer and knowledge innovation as moderated by microstructure holes Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-04 Lubang Wang, Guohui Dong, Ying Xu, Xinming Zhang
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HBS–STACK: hierarchical biomarker selection and stacked ensemble model for biomarker identification and cancer prediction on multi-omics Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-03 Arwinder Dhillon, Ashima Singh, Vinod Kumar Bhalla
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CNN-based Indian medicinal leaf type identification and medical use recommendation Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-03 S. Praveena, S. M. Pavithra, A. Dalvin Vinoth Kumar, P. Veeresha
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Few-shot video object segmentation with prototype evolution Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-03 Binjie Mao, Xiyan Liu, Linsu Shi, Jiazhong Yu, Fei Li, Shiming Xiang
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Deep noise mitigation and semantic reconstruction hashing for unsupervised cross-modal retrieval Neural Comput. & Applic. (IF 6.0) Pub Date : 2024-01-03 Cheng Zhang, Yuan Wan, Haopeng Qiang
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COVID-19 classification based on a deep learning and machine learning fusion technique using chest CT images Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-29 Gerges M. Salama, Asmaa Mohamed, Mahmoud Khaled Abd-Ellah
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A lightweight deep neural network model and its applications based on channel pruning and group vector quantization Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-29 Mingzhong Huang, Yan Liu, Lijie Zhao, Guogang Wang
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The non-monopolize search (NO): a novel single-based local search optimization algorithm Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-29 Laith Abualigah, Mohammed A. A. Al-qaness, Mohamed Abd Elaziz, Ahmed A. Ewees, Diego Oliva, Thanh Cuong-Le
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Improved genetic algorithm approach for coordinating decision-making in technological disaster management Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-29 Bethsy Guerrero Granados, Christian G. Quintero M., César Viloria Núñez
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Lightweight image super-resolution via multi-branch aware CNN and efficient transformer Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-28 Xiang Gao, Sining Wu, Ying Zhou, Xinrong Wu, Fan Wang, Xiaopeng Hu
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A novel similarity measure based on new accuracy function on interval-valued intuitionistic fuzzy number and its application to multicriteria decision-making problem Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-27
Abstract Interval-valued intuitionistic fuzzy numbers (IVIFNs) are perfect to even more naturally model real-life issues and can be applied to several area like cluster analysis, decision-making, image processing, medical diagnosis, pattern recognition, etc. In particular, the similarity measures defined on IVIFNs take an important role in these fields effectively. Most of the researchers have tried
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Attention with kernels for EEG-based emotion classification Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-27
Abstract A kernel attention module (KAM) is presented for the task of EEG-based emotion classification using neural network based models. In this study, it is shown that the KAM method can lead to more efficient and accurate models using only a single parameter design. This additional parameter can be leveraged as an interpretable scalar quantity for examining the overall amount of attention needed
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Attention-based deep supervised hashing for near duplicate video retrieval Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-27 Naifei Shi, Chong Fu, Ming Tie, Wenchao Zhang, Xingwei Wang, Chiu-Wing Sham
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DLP-GAN: learning to draw modern Chinese landscape photos with generative adversarial network Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-27 Xiangquan Gui, Binxuan Zhang, Li Li, Yi Yang
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LIMFA: label-irrelevant multi-domain feature alignment-based fake news detection for unseen domain Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-27
Abstract Fake news in social networks causes disastrous effects on the real world yet effectively detecting newly emerged fake news remains difficult. This problem is particularly pronounced when the testing samples (target domain) are derived from different topics, events, platforms or time periods from the training dataset (source domains). Though efforts have focused on learning domain-invariant
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Special perceptual parsing for Chinese landscape painting scene understanding: a semantic segmentation approach Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-27
Abstract The automatic and precise perceptual parsing of Chinese landscape paintings (CLP) significantly aids in the digitization and recreation of artworks. Manual extraction and analysis of objects in CLPs is challenging, even for expert painters with professional knowledge and sharp discernment. Two main key reasons restricted the development of CLP parsing: (1) a lack of pixel-level labeled data
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Leveraging self-paced learning and deep sparse embedding for image clustering Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-26 Yanming Liu, Jinglei Liu
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Self-supervised discriminative model prediction for visual tracking Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-26 Di Yuan, Gu Geng, Xiu Shu, Qiao Liu, Xiaojun Chang, Zhenyu He, Guangming Shi
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Fall detection on embedded platform using infrared array sensor for healthcare applications Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-26 Yan Jiang, Tianyi Gong, Lingfeng He, Shicheng Yan, Xiaoping Wu, Jianyang Liu
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A convolutional neural network framework to design power system stabilizer for damping oscillations in multi-machine power system Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-26 Devesh Umesh Sarkar, Tapan Prakash
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TomSevNet: a hybrid CNN model for accurate tomato disease identification with severity level assessment Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-26 U. Shruthi, V. Nagaveni
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Unsupervised video-based action recognition using two-stream generative adversarial network Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-26
Abstract Video-based action recognition faces many challenges, such as complex and varied dynamic motion, spatio-temporal similar action factors, and manual labeling of archived videos over large datasets. How to extract discriminative spatio-temporal action features in videos with resisting the effect of similar factors in an unsupervised manner is pivotal. For that, this paper proposes an unsupervised
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Multi-national CT image-label pairs synthesis for COVID-19 diagnosis via few-shot generative adversarial networks adaptation Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-24 Jing Zhang, Yingpeng Xie, Dandan Sun, Ruidong Huang, Tianfu Wang, Baiying Lei, Kuntao Chen
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Anterior cruciate ligament tear detection based on convolutional neural network and generative adversarial neural network Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-24
Abstract Knee ligament tear injury is frequent in many volleyball, football, basketball, and cricket players. In the past, various deep learning-based ACL tear detection schemes using knee magnetic resonance imaging (MRI) have been presented. It has shown challenges in ACL tear detection performance due to class imbalance issue arising due to uneven training samples and poor feature representation
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PolyDSS: computer-aided decision support system for multiclass polyp segmentation and classification using deep learning Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-24
Abstract Colorectal cancer (CRC) is a malignant condition that affects the colon or rectum, and it is distinguished by abnormal cell growth in these areas. Colon polyps, which are abnormalities, can turn into cancer. To stop the spread of cancer, early polyp detection is essential. The timely removal of polyps without submitting a sample for histology is made possible by computer-assisted polyp classification
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Foodnet: multi-scale and label dependency learning-based multi-task network for food and ingredient recognition Neural Comput. & Applic. (IF 6.0) Pub Date : 2023-12-24
Abstract Image-based food pattern classification poses challenges of non-fixed spatial distribution and ingredient occlusion for mainstream computer vision algorithms. However, most current approaches classify food and ingredients by directly extracting abstract features of the entire image through a convolutional neural network (CNN), ignoring the relationship between food and ingredients and ingredient