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Neural Computing and Applications OnlineFirst articles

28.02.2024 | Original Article

MGFEEN: a multi-granularity feature encoding ensemble network for remote sensing image classification

Deep convolutional neural networks (DCNNs) have emerged as powerful tools in diverse remote sensing domains, but their optimization remains challenging due to their complex nature and the large number of parameters involved. Researchers have been …

verfasst von:
Musabe Jean Bosco, Rutarindwa Jean Pierre, Mohammed Saleh Ali Muthanna, Kwizera Jean Pierre, Ammar Muthanna, Ahmed A. Abd El-Latif

28.02.2024 | Original Article

Wavelet-based spectrum transfer with collaborative learning for unsupervised bidirectional cross-modality domain adaptation on medical image segmentation

Unsupervised cross-modality domain adaptation for medical image segmentation has made great progress with the development of adversarial learning-based methods, but the training of adversarial models is considerably complicated. In this paper, we …

verfasst von:
Shaolei Liu, Linhao Qu, Siqi Yin, Manning Wang, Zhijian Song

Open Access 28.02.2024 | Original Article

BinDMO: a new Binary Dwarf Mongoose Optimization algorithm on based Z-shaped, U-shaped, and taper-shaped transfer functions for CEC-2017 benchmarks

Intelligent swarm optimization algorithms have become increasingly common due to their success in solving real-world problems. Dwarf Mongoose Optimization (DMO) algorithm is a newly proposed intelligent swarm optimization algorithm in recent …

verfasst von:
Emine BAS

28.02.2024 | Original Article

An improved social mimic optimization algorithm and its application in bearing fault diagnosis

As a key component of rotating machinery, it is of great significance for the timely diagnosis of bearing weak faults. Stochastic resonance is widely used for its special signal enhancement pattern, and the combination of system parameters …

verfasst von:
Manhua Yu, Hong Jiang, Jianxing Zhou, Xiangfeng Zhang, Jun Li

28.02.2024 | Original Article

Quasi-projective synchronization of discrete-time BAM neural networks by discrete inequality techniques

In this paper, we primarily concentrate on the quasi-projective synchronization of master–slave discrete-time BAM neural networks. Without using the LMI and matrix measure methods, by applying discrete inequalities and the Lyapunov sequences …

verfasst von:
Zhen Yang, Zhengqiu Zhang, Huaying Liao

28.02.2024 | Original Article

Invisible backdoor learning in regional transform domain

The rapid developing deep learning is highly required by resources and computing resources, which easily leads to backdoor learnings. It is difficult for existing schemes to strike a balance among trigger concealment, the effect and the stability.

verfasst von:
Yuyuan Sun, Yuliang Lu, Xuehu Yan, Xuan Wang

Open Access 28.02.2024 | Original Article

Adaptive temperature scaling for Robust calibration of deep neural networks

In this paper, we study the post-hoc calibration of modern neural networks, a problem that has drawn a lot of attention in recent years. Despite the plethora of calibration methods proposed, there is no consensus yet on the inherent complexity of …

verfasst von:
Sergio A. Balanya, Juan Maroñas, Daniel Ramos

Open Access 28.02.2024 | Original Article

Parametric RSigELU: a new trainable activation function for deep learning

Activation functions are used to extract meaningful relationships from real-world problems with the help of deep learning models. Thus, the development of activation functions which affect deep learning models’ performances is of great interest to …

verfasst von:
Serhat Kiliçarslan, Mete Celik

28.02.2024 | Original Article

DFMA-ICH: a deformable mixed-attention model for intracranial hemorrhage lesion segmentation based on deep supervision

Intracranial hemorrhage (ICH) is a common and critical disease in clinical, with rapid progression, high disability, and mortality rates. Existing segmentation methods, such as U-Net and TransUNet, perform poorly for the problems in ICH …

verfasst von:
Hanguang Xiao, Xinyi Shi, Qingling Xia, Lihua Chen, Diyou Chen, Yulin Li, Li Li, Qiyuan Liu, Hui Zhao

28.02.2024 | Original Article

Leukemia classification using different CNN-based algorithms-comparative study

Leukemia or blood cancer has its roots in the bone marrow. It is distinguished by irregular white blood cell proliferation. Early diagnosis of leukemia is crucial to increase the effectiveness of its treatment. However, manual methods to detect …

verfasst von:
Areen K. Al-Bashir, Ruba E. Khnouf, Lamis R. Bany Issa

Open Access 27.02.2024 | Original Article

Detecting SQL injection attacks by binary gray wolf optimizer and machine learning algorithms

SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the application's database. SQL injection attacks can be detected using machine learning algorithms. The effective features …

verfasst von:
Bahman Arasteh, Babak Aghaei, Behnoud Farzad, Keyvan Arasteh, Farzad Kiani, Mahsa Torkamanian-Afshar

Open Access 27.02.2024 | Original Article

MCMSTStream: applying minimum spanning tree to KD-tree-based micro-clusters to define arbitrary-shaped clusters in streaming data

Stream clustering has emerged as a vital area for processing streaming data in real-time, facilitating the extraction of meaningful information. While efficient approaches for defining and updating clusters based on similarity criteria have been …

verfasst von:
Berfin Erdinç, Mahmut Kaya, Ali Şenol

27.02.2024 | Original Article

Contrastive feature decomposition for single image layer separation

The key challenge of image layer separation stems from recognizing different components in a single image. Typical methods optimize the modeling of different components by performing low-level supervision on the separated image to minimize its …

verfasst von:
Xin Feng, Jingyuan Li, Haobo Ji, Wenjie Pei, Guangming Lu, David Zhang

27.02.2024 | Original Article

Video Q &A based on two-stage deep exploration of temporally-evolving features with enhanced cross-modal attention mechanism

Multi-modal attention learning in video question answering (VideoQA) is a challenging task, as it requires consideration of information recognition within modalities and information interaction and fusion between modalities. Existing methods …

verfasst von:
Yuanmao Luo, Ruomei Wang, Fuwei Zhang, Fan Zhou, Mingyang Liu, Jiawei Feng

27.02.2024 | Original Article

IndianFoodNet: effective Indian multi-food identification and recommendation for hypertensive patients using deep convolutional neural network

The food consumption has a direct effect on the health of an individual. Eating food without awareness of its ingredients may result in eating style-based diseases such as hypertension, diabetes, and several others. As per recent WHO survey, the …

verfasst von:
Rajeev Tiwari, Gourav Bathla, Shuchi Upadhyay

27.02.2024 | Original Article

A multitask co-training framework for improving speech translation by leveraging speech recognition and machine translation tasks

End-to-end speech translation (ST) has attracted substantial attention due to its less error accumulation and lower latency. Based on triplet ST data $$\langle$$ ⟨ speech-transcription-translation $$\rangle$$ ⟩ , multitask learning (MTL) that …

verfasst von:
Yue Zhou, Yuxuan Yuan, Xiaodong Shi

Open Access 27.02.2024 | Original Article

A novel approach for Parkinson’s disease detection using Vold-Kalman order filtering and machine learning algorithms

Parkinson’s disease (PD) is the second most common neurological disorder caused by damage to dopaminergic neurons. Therefore, it is important to develop systems for early and automatic diagnosis of PD. For this purpose, a study that will …

verfasst von:
Fatma Latifoğlu, Sultan Penekli, Fırat Orhanbulucu, Muhammad E. H. Chowdhury

26.02.2024 | Review

Syntax-guided question generation using prompt learning

Question generation (QG) aims to generate natural questions from relevant input. Existing state-of-the-art QG approaches primarily leverage pre-trained language models (PLMs) to encode the deep semantics within the input. Meanwhile, studies show …

verfasst von:
Zheheng Hou, Sheng Bi, Guilin Qi, Yuanchun Zheng, Zuomin Ren, Yun Li

26.02.2024 | Original Article

Optimal formation control for second-order nonlinear MASs with collision avoidance and connectivity assurance

In this paper, the optimal formation control issue with collision avoidance and connectivity assurance is investigated for a class of second-order uncertain nonlinear multi-agent systems. First, the neural networks are employed in order to deal …

verfasst von:
Zixin Tian, Yongming Li

26.02.2024 | Original Article

CovLIS-MUnet segmentation model for Covid-19 lung infection regions in CT images

One of the most serious health concerns facing the world is coronavirus disease (COVID-19). COVID-19 is a virus that is highly infectious and contagious. The RT-PCR test is not the only way to diagnose COVID-19; many other alternatives are …

verfasst von:
Manju Devi, Sukhdip Singh, Shailendra Tiwari