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543 articles for “Co-Attention”
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Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Timing Sequence of Brand Promotion in an Online Video-an Eye-Tracking StudyPrasun Gahlot, Surya Bahadur Thapa, Komal Suryavanshi et al.Embedded marketing in online videos has become a popular form of advertising. This study aims to examine the impact of visual attention due to different sequences of product placement by content creators in their videos on brand name, product name, and brand awareness. An experimental study was conducted to investigate the effect on the viewer's attention while viewing a video … …Journal of Computer Science, Vol. 19, Issue 1 · 7 Jan 2023 · 6,200 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid CNN-Based Transformer Pipeline With Radiomic Fusion for Multi-Class Lung Cancer DetectionAanchal Vij, Kuldeep Singh Kaswan, Anand NayyarEarly detection of lung cancer remains challenging due to high intra-class variation and inter-class similarity in Computed Tomography (CT) images. In this paper, we propose a hybrid deep learning model that combines convolutional, attention-based, and transformer-guided representations to address these challenges in multi-class lung cancer classification. For deep feature extraction, we use the EfficientNetV2-S architecture augmented with a Convolutional Block … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jun 2026 · 1,537 accessesView PDFCite
Review ArticleOpen accessIn the abstractEvolution of Artificial Intelligence Programming Languages - a Systematic Literature ReviewEmmanuel Adetiba, Temitope M. Adeyemi-Kayode, Adekunle A. Akinrinmade et al.Artificial Intelligence (AI) has received significant attention in recent years. It is being adopted to provide solutions to medicine, engineering, education, government and several other domains. To analyze the state-of-the-art of research in AI, we present a systematic literature review focusing on the Evolution of AI programming languages. Our search returned 7,604 documents; after reviewing these documents, 78 which were … …Journal of Computer Science, Vol. 17, Issue 11 · 18 Dec 2021 · 8,632 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Deep Neural Network for Afaan-Oromo Language Text-to-Speech SynthesisDiriba Gichile Rundasa, Arulmurugan Ramu, Teshome Debushe Adugna et al.Text-to-speech synthesis is the automatic translation of unlimited natural language sentences from Text to spoken form that closely mimics the spoken form of the same Text by a native speaker of the language. The purpose of a Texttext-to-speech synthesizer is to generate comprehensible, natural signalling human voice from text transcriptions. Despite the wide range of potential applications for Text-to-speech systems, … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 7,360 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Arabic Named Entity Recognition with a Modified Transformer EncoderHamid Sadeq Mahdi Alsultani, Ahmed H. AliwyThis article investigates the use of a transformer encoder for Arabic Named Entity Recognition (NER). The classic transformer that was originally proposed for machine translation adopts the absolute sinusoidal position embedding which is aware of distance but unfortunately is not aware of the directionality. However, in the NER task, both distance and orientation are crucial. Therefore, in this study, instead … …Journal of Computer Science, Vol. 19, Issue 5 · 10 Apr 2023 · 5,337 accessesView PDFCite
Review ArticleOpen accessIn the abstractAssessment of Dust Event By RS, GIS, MODIS and Statistical Methods Among Satellite ImagesKaveh Ostad-Ali-Askari, Naimeh Rahimi, Parisa Ashrafi et al.Dust is an event that occurs in most sections of the world that leads to financial loss and harmful environmental impacts. Several factors are included in dust event incidence, some of them are natural and others are due to human processes and their impact on the environment. Thus, very critical situations are coming and it is expected that the majority … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 25 Jun 2021 · 6,704 accessesView PDFCite
Review ArticleOpen accessIn the abstractNeutrino Mass Mechanisms in 3-3-1 Models: A Short ReviewCarlos Antônio de Sousa PiresIn this study we review some mechanisms that provide light neutrinos in the framework of 3-3-1 gauge models without exotic leptons. In regard to the minimal 3-3-1 model, we call the attention to the fact that the perturbative regime of the model goes until 5 TeV. This requires alternative mechanisms in order to generate light neutrinos. In this review we … …Physics International, Vol. 6, Issue 1 · 28 Aug 2015 · 8,166 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamics of Corporates and Stakeholders Perspective of Corporate Social Responsibility: A Case of Sports Goods Industry MeerutR. K. TyagiProblem statement: The Corporate Social Responsibility concerns got global attention in large scale industries but the SME’s which are no less prone to create critical problems for the human, social and natural environments inimical to the society as a whole and survival at large, have not attracted the required attention. The case focuses on the dynamics of the corporate and … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 7,332 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization Techniques for Variable Selection in Binary Logistic Regression Model Applied to Desire for Children DataS. K. Sarkar, Habshah MidiProblem statement: The population problem is the biggest problem in the world. In the global and regional context, Bangladesh population has drawn considerable attention of the social scientists, policy makers and international organizations. Bangladesh is now world’s 10th populous country having about 140 million people. The recent experience of Bangladesh shows that fertility can sustain impressive declines even when women’s … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,099 accessesView PDFCite