样式: 排序: IF: - GO 导出 标记为已读
-
Employing Atrous Pyramid Convolutional Deep Learning Approach for Detection to Diagnose Breast Cancer Tumors Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-14 Ehsan Sadeghi Pour, Mahdi Esmaeili, Morteza Romoozi
Breast cancer is among the most common diseases and one of the most common causes of death in the female population worldwide. Early identification of breast cancer improves survival. Therefore, radiologists will be able to make more accurate diagnoses if a computerized system is developed to detect breast cancer. Computer-aided design techniques have the potential to help medical professionals to
-
A New ELECTRE Method Based on Left and Right Score for Multicriteria Decision-Making Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-10 Faeze Jokar, M. Jalali Varnamkhasti, A. Hadi-Vencheh
The procedure for ranking the performance of systems using the method Elimination and Choice Translating Reality (ELECTRE) is one of the most important and practical methods in multicriteria decision-making (MCDM). The classical ELECTRE technique uses the concept of dominance implicitly. In this method, all options are evaluated using a comparison of unexpected rankings, thus eliminating ineffective
-
Towards a Better Performance in Facial Expression Recognition: A Data-Centric Approach Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-3 Christian Mejia-Escobar, Miguel Cazorla, Ester Martinez-Martin
Facial expression is the best evidence of our emotions. Its automatic detection and recognition are key for robotics, medicine, healthcare, education, psychology, sociology, marketing, security, entertainment, and many other areas. Experiments in the lab environments achieve high performance. However, in real-world scenarios, it is challenging. Deep learning techniques based on convolutional neural
-
ML-DSTnet: A Novel Hybrid Model for Breast Cancer Diagnosis Improvement Based on Image Processing Using Machine Learning and Dempster–Shafer Theory Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-2 Mohsen Eftekharian, Ali Nodehi, Rasul Enayatifar
Medical intelligence detection systems have changed with the help of artificial intelligence and have also faced challenges. Breast cancer diagnosis and classification are part of this medical intelligence system. Early detection can lead to an increase in treatment options. On the other hand, uncertainty is a case that has always been with the decision-maker. The system’s parameters cannot be accurately
-
Retracted: Role of Human-Computer Interaction Healthcare System in the Teaching of Physiology and Medicine. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/5849736.].
-
Retracted: Diagnosing Cancer Using IOT and Machine Learning Methods. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9896490.].
-
Retracted: Analysis of Older Adults under Home Care in Taiwan's Ageing Society. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/8687947.].
-
Retracted: The Psychological Education Strategy of Music Generation and Creation by Generative Confrontation Network under Deep Learning. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/3847415.].
-
Retracted: A Data-Driven Control Strategy for Urban Express Ramp. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2021/6540972.].
-
Retracted: Diagnosis of Breast Cancer Using Computational Intelligence Models and IoT Applications. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/2143510.].
-
Retracted: Sports-Induced Fatigue Recovery of Competitive Aerobics Athletes Based on Health Monitoring. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9542397.].
-
Retracted: A Survey Research on the Willingness of Gynecologists to Employ Mobile Health Applications. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2021/1220374.].
-
Retracted: Real-Time Detection of Body Nutrition in Sports Training Based on Cloud Computing and Somatosensory Network. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-11-01 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9911905.].
-
A Movie Recommender System Based on User Profile and Artificial Bee Colony Optimization Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-25 Faezeh Rajabi Kouchi, Sahar Oftadeh Balani, Amirhossein Esmaeilpour, Masoume Shafieian, Rzgar Sirwan, Adil Hussein Mohammed
In this study, a new algorithm for recommending movies to viewers has been proposed. To do this, the suggested method employs data mining techniques. The proposed method includes three steps for generating recommendations: “preprocessing of user profile information,” “feature extraction,” and “recommendation.” In the first step of proposed method, the user information will be examined and transformed
-
Retracted: Development and Teaching Application of Interactive Virtual Algorithm Animation of C Language Program. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/7082914.].
-
Retracted: Security and Privacy Risk Assessment of Energy Big Data in Cloud Environment. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2021/2398460.].
-
Retracted: A Social-aware and Mobile Computing-based E-Commerce Product Recommendation System. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9501246.].
-
Retracted: A Novel Artificial Intelligence System in Formulation Dissolution Prediction. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/8640115.].
-
Retracted: Intelligent Control of Agricultural Irrigation through Water Demand Prediction Based on Artificial Neural Network. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2021/7414949.].
-
Retracted: Application of Capital Asset Pricing Model Based on BP Neural Network in E-commerce Financing. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/5654271.].
-
Retracted: Modeling on Social Health Literacy Level Prediction. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2021/7049997.].
-
Retracted: Design of a Comprehensive Assessment Model for the Stability and Engineering Geology of Slope Based on Improved Convolutional Neural Network. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/1639311.].
-
Retracted: Effect of Repairing Tendon and Ligament Injury of Wushu Athletes by Medical Image. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/8494734.].
-
Retracted: A DSGE Decision Model for Investigating the LPR Transmission Effect. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/2981558.].
-
Retracted: Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/4274795.].
-
Retracted: Long Jump Action Recognition Based on Deep Convolutional Neural Network. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/3832118.].
-
Retracted: Application of Adaptive Neural Network Algorithm Model in English Text Analysis. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/4866531.].
-
Retracted: Application of CNN-Based Machine Learning in the Study of Motor Fault Diagnosis. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9635251.].
-
Retracted: Research on the Filtering and Classification Method of Interactive Music Education Resources Based on Neural Network. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/5764148.].
-
Retracted: Neural Network Model for Perceptual Evaluation of Product Modelling Design Based on Multimodal Image Recognition. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-18 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/1665021.].
-
Medical Specialty Classification Based on Semiadversarial Data Augmentation Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-17 Huan Zhang, Dong Zhu, Hao Tan, Muhammad Shafiq, Zhaoquan Gu
Rapidly increasing adoption of electronic health record (EHR) systems has caused automated medical specialty classification to become an important research field. Medical specialty classification not only improves EHR system retrieval efficiency and helps general practitioners identify urgent patient issues but also is useful in studying the practice and validity of clinical referral patterns. However
-
Lung Cancer Classification in Histopathology Images Using Multiresolution Efficient Nets Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-16 Sunila Anjum, Imran Ahmed, Muhammad Asif, Hanan Aljuaid, Fahad Alturise, Yazeed Yasin Ghadi, Rashad Elhabob
Histopathological images are very effective for investigating the status of various biological structures and diagnosing diseases like cancer. In addition, digital histopathology increases diagnosis precision and provides better image quality and more detail for the pathologist with multiple viewing options and team annotations. As a result of the benefits above, faster treatment is available, increasing
-
Classification of Brain Tumor Images Using CNN Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-12 Manali Gupta, Sanjay Kumar Sharma, G. C. Sampada
A brain tumor is a serious malignant condition caused by unregulated as well as aberrant cell partitioning. Recent advances in deep learning have aided the healthcare business, particularly, diagnostic imaging for the diagnosis of numerous disorders. The most frequent and widely utilized machine learning model for image recognition is probably task CNN. Similarly, in our study, we categorize brain
-
Stressed Speech Emotion Recognition Using Teager Energy and Spectral Feature Fusion with Feature Optimization Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Surekha Reddy Bandela, S. Siva Priyanka, K. Sunil Kumar, Y. Vijay Bhaskar Reddy, Afework Aemro Berhanu
The objective of speech emotion recognition (SER) is to enhance man–machine interface. It can also be used to cover the physiological state of a person in critical situations. In recent time, speech emotion recognition also finds its operations in medicine and forensics. A new feature extraction technique using Teager energy operator (TEO) is proposed for the detection of stressed emotions as Teager
-
Retracted: Teachers' Teaching Ability Promotion Strategies Based on Lightweight Deep Learning Combined with Target Detection Algorithm. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/4880560.].
-
Retracted: Analysis of Chinese Machine Translation Training Based on Deep Learning Technology. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/6502831.].
-
Retracted: Identification and Classification of Depressed Mental State for End-User over Social Media. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/8755922.].
-
Retracted: Large-Scale Textual Datasets and Deep Learning for the Prediction of Depressed Symptoms. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/5731532.].
-
Retracted: A Novel Text Mining Approach for Mental Health Prediction Using Bi-LSTM and BERT Model. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/7893775.].
-
Retracted: Sentiment Analysis on COVID-19 Twitter Data Streams Using Deep Belief Neural Networks. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/8898100.].
-
Retracted: Application of Higher Education Management in Colleges and Universities by Deep Learning. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/7295198.].
-
Retracted: Arabic Speech Analysis for Classification and Prediction of Mental Illness due to Depression Using Deep Learning. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/8622022.].
-
Retracted: Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9194031.].
-
Retracted: Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/5211949.].
-
Retracted: Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/1669569.].
-
Retracted: Application of Computer 3D Modeling Technology in Graphic Image Design. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/6451339.].
-
Retracted: Psychological Analysis for Depression Detection from Social Networking Sites. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/4395358.].
-
Retracted: Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/2823614.].
-
Retracted: Optimization of Mental Health-Related Critical Barriers in IoT-Based Teaching Methodology. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/4602072.].
-
Retracted: Internet of Things Device Identification Algorithm considering User Privacy. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/6173185.].
-
Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/5339664.].
-
Retracted: Application of Lightweight Deep Learning Model in Vocal Music Education in Higher Institutions. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/6757341.].
-
Retracted: IoT-Oriented Wireless Sensor Network and Sports Dance Movement Perception. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/6477170.].
-
Retracted: Magnetic Tile Surface Defect Detection Methodology Based on Self-Attention and Self-Supervised Learning. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/3003810.].
-
Retracted: Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/9404242.].
-
Retracted: Artificial Intelligence-Based Feature Analysis of Ultrasound Images of Liver Fibrosis. Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-11 Computational Intelligence And Neuroscience
[This retracts the article DOI: 10.1155/2022/2859987.].
-
Mutual-Attention Net: A Deep Attentional Neural Network for Keyphrase Generation Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-10 Wenying Duan, Hong Rao, Longzhen Duan, Ning Wang
Neural keyphrase generation (NKG) is a recently proposed approach to automatically extract keyphrase from a document. Unlike the traditional keyphrase extraction, the NKG can generate keyphrases that do not appear in the document. However, as a supervised method, NKG is hindered by noise. In order to solve the problem that the existing NKG model does not consider denoising the source document, in this
-
A Method for Predicting Production Costs Based on Data Fusion from Multiple Sources for Industry 4.0: Trends and Applications of Machine Learning Methods Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-10 Masoud Soleimani, Hossein Naderian, Amir Hossein Afshinfar, Zoha Savari, Mahtab Tizhari, Seyed Reza Agha Seyed Hosseini
There is a growing need for manufacturing processes that improve product quality and production rates while reducing costs. With the advent of multisensory information fusion technology, individuals can acquire a broader range of information. Several data fusion and machine learning methods have been discussed in this article within the context of the Industry 4.0 paradigm. Depending on its purpose
-
A Large Visual, Qualitative, and Quantitative Dataset for Web Intelligence Applications Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-10 Christian Mejia-Escobar, Miguel Cazorla, Ester Martinez-Martin
The Web is the communication platform and source of information par excellence. The volume and complexity of its content have grown enormously, with organizing, retrieving, and cleaning Web information becoming a challenge for traditional techniques. Web intelligence is a novel research area to improve Web-based services and applications using artificial intelligence and automatic learning algorithms
-
Optimization Strategy of College Students’ Education Management Based on Smart Cloud Platform Teaching Comput. Intell. Neurosci. (IF 3.12) Pub Date : 2023-10-10 Mingjing Zhang
With the passage of time and social changes, the form of education is also changing step by step. In just a few decades, information technology has developed by leaps and bounds, and digital education has not yet been widely promoted. Intelligent education cloud platforms based on big data, Internet of things, cloud computing, and artificial intelligence have begun to emerge. The research on the “smart