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41 results for “Multimodal”
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Research ArticleOpen accessEvery word in the titleMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMedFusion: A Unified Multimodal Framework for Visual Question Answering and Explainable Medical RecommendationSatyajit Mahapatra, Jibitesh Mishra, Kumar Janardan Patra et al.In clinical decision-making, the ability to ask visual questions about medical images and receive accurate, personalized, and interpretable recommendations can significantly enhance practitioner support systems. This paper presents MedFusion, a unified multimodal framework that integrates Visual Question Answering (VQA), personalized medical recommendation, and explainability within a single architecture. The proposed model employs co-attention–based visual–textual fusion augmented with retrieval-enhanced reasoning to … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,360 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Content Filtering from Spam Posts on Social Media using Weighted Multimodal ApproachChastine Fatichah, Wildan F. Lazuardi, Dini A. Navastara et al.The system for filtering spam posts on social media is preferred to obtain the relevant content and expected by users. The previous works on spam detection have been done to filter irrelevant content on email and social media based on text or image separately. Due to the social media posts are commonly in the form of image, text, or both, … …Journal of Computer Science, Vol. 17, Issue 1 · 21 Jan 2021 · 7,904 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleMultimodal Sentiment Analysis: A Comparison StudyIntisar O. Hussien, Yahia Hasan JazyahSentiments and emotions play a pivotal role in our daily lives. They assist decision making, learning, communication and situation awareness in human environments. Sentiment analysis is mainly focused on the automatic recognition of opinions’ polarity, as positive or negative. Nowadays, sentiment analysis is replacing the old web based survey and traditional survey methods that conducted by deferent companies for finding … …Journal of Computer Science, Vol. 14, Issue 6 · 11 Jun 2018 · 9,904 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Multimodal Biometric Authentication Integrating Fingerprint and Face FeaturesShohel Sayeed, Ilham Nasir, Thian Song OngBiometrics authentication has been used in many applications such as e-commerce, access control etc. In this research, multimodal biometric authentication in light of score level combination of fingerprint and face is proposed. Face and fingerprint is two of the most popular biometric traits and can complement each other for more reliable user authentication. To verify the effectiveness of the proposed … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 18 Nov 2016 · 8,039 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMULTIMODAL RETINAL IMAGE REGISTRATION USING RANSAC MATCHING AND GRADIENT ICP ALGORITHMP. Pradeepa, Ila. VennilaMultimodal retinal imaging is an important facet of the diagnosis and therapy of retinal disorders like retinopathy, occlusion. Many imaging techniques for multimodal retinal images are developing in the recent years. These novel developments are subjected to a tradeoff between the computational time and effective registration. This study aims at developing a new algorithm based on the RANSAC matching and … …Journal of Computer Science, Vol. 10, Issue 12 · 24 Dec 2014 · 7,740 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultimodal Biometrics using Feature FusionK. Krishneswari, S. ArumugamProblem statement: Biometric is a unique, measurable physiological or behavioral characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometric for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric … …Journal of Computer Science, Vol. 8, Issue 3 · 24 Jan 2012 · 7,370 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris FeaturesA. Jameer Basha, V. Palanisamy, T. PurusothamanProblem statement: The accuracy of biometric systems varies with the kind of biometric feature used in it. The Unmoral biometric system is prone to interclass variations. Approach: We implement Multimodal biometric systems to overcome the limitations by using multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,619 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultimodal Integration (Image and Text) Using Ontology AlignmentAhmad Adel Abu Shareha, Mandava Rajeswari, Dhanesh RamachandramProblem statement: This study proposed multimodal integration method at the concept level to investigate information from multimodalities. The multimodal data was represented as two separate lists of concepts which were extracted from images and its related text. The concepts extracted from image analysis are often ambiguous, while the concepts extracted from text processing could be sense-ambiguous. The major problems that … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,629 accessesView PDFCite