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77 results for “Modal”
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Research ArticleOpen accessEvery word in the titleCPF-Net: Cross-modal CT and Pathology Guided Feature Learning for CT-based Lung Cancer Subtype ClassificationPeizhi Tan, Debiao YanAccurate classification of lung cancer subtypes from CT images remains challenging due to the subtle radiological differences between adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). We propose CPF-Net, a deep learning framework that integrates CT and pathological information through a Linear Spatial Reduction Attention (LSRA) module. The framework processes whole slide images using a modified CTransPath architecture for pathological feature … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 23 Jan 2026 · 1,856 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetermination of Natural Frequencies through Modal and Harmonic Analysis of Space Frame Race Car Chassis Based on ANSYSMohammad Al Bukhari Marzuki, Mohammad Hadi Abd Halim, Abdul Razak Naina MohamedSpace frame chassis the preferred choice of chassis design due to its low cost, high strength, lightweight and safe qualities, which made it suitable for a single-seat race car application and an important aspect in the construction of the space frame race car chassis. Key sections of a space frame race car chassis consist of front and main hoops, side … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 2 Sep 2015 · 9,913 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Multi-Modal Image Fusion Approach for Visual and Infrared Images via Shearlet-Based DecompositionApoorav Sharma, Shagun Sharma, Kalpna Guleria et al.The integration of optical lens technologies with night vision has become necessary due to the increasing demand to enhance public safety and surveillance, particularly in vulnerable areas, public transportation, and airports. Due to vision clarity issues or the lack of thermal information, conventional single-modality systems often fail to detect concealed dangers. This research presents a multimodal image fusion architecture that … …Journal of Computer Science, Vol. 22, Issue 1 · 2 Feb 2026 · 1,899 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInvestigations on Orthogonal-Frequency Division Multiplexed-Mode-Division Multiplexed MM Wave-on-Free Space Optics Transmission using Laguerre-Gaussian Modal BeamsAnita Suman, Ajay KumarWe report the simulation-modelling and evaluation of an integrated Orthogonal-Frequency Division Multiplexed (OFDM)-Mode-Division Multiplexed (MDM) Radio-on-Free Space Optics (Ro-FSO) scheme carrying 2-independent 40 GHz millimetre waves (mm Wave) at 20 Gbps per channel for 5th generation wireless applications. The reported Ro-FSO scheme transports 2-independent 20 Gbps 4-Quadrature-Amplitude Modulated (4-QAM) signals, each carrying 40 GHz mm Wave signal over 2-distinct Laguerre-Gaussian … …Journal of Computer Science, Vol. 17, Issue 12 · 15 Dec 2021 · 6,200 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,462 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder NeuroimagesMeenakshi Malviya, Chandra J, Nagendra NHigh-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied … …Journal of Computer Science, Vol. 20, Issue 11 · 28 Sep 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of a Machine Tool Spindle Critical Frequency through Modal and Imbalance Response AnalysisKhairul Jauhari, Achmad Widodo, Ismoyo HaryantoThe most important part for machine tool system is spindle system. The structural properties of spindle will affect to the productivity of machining process and the work pieces quality. Thus it is necessary and very important to know its spindle dynamic behaviors for avoiding forced vibration due to resonance. The Finite Element Method (FEM) has been adopted for obtaining spindle … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 2 · 14 Feb 2016 · 8,591 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSeeking an Alternative Modality to the Management of Nigeria's Fertilizer Subsidy Scheme-An Empirical Approach to the Case Study of Ondo State (1976-1996)Victor O. Asekunowo, Grace T. Olutunla, Adebiyi G. DaramolaProblem statement: The objective of Nigeria’s fertilizer subsidy scheme was to make inorganic fertilizers readily available to farmers at affordable prices in order to boost food production in the country. Shortly into the scheme, farmers complained that fertilizers were not received at the time of need and in sufficient quantities. Approach: Using Ondo State, Nigeria as a case study, to … …Journal of Social Sciences, Vol. 6, Issue 3 · 30 Sep 2010 · 7,831 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVision Tune: A Deep Learning Framework for Sentiment Driven Video, Image and Music CreationLukesh Rameshpant Kadu, Manoj Deshpande, Vijaykumar PawarArtificial intelligence has enabled powerful generative models for text, images, video, and music, yet most tools still operate independently without a unified, multi-modal workflow. This article proposes an integrated AI framework, Vision Tune, that consolidates these isolated capabilities into a single, sentiment-aware platform for end-to-end media creation. The system leverages deep learning and multi-scope AI models to automatically generate written … …Journal of Computer Science, Vol. 22, Issue 4 · 29 Apr 2026 · 1,496 accessesView PDFCite