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94 articles for “multimodal”
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Small Cell Neuroendocrine Carcinoma of Cervix: A Case Report and Review
Abstract: Cancer cervix ranks third of all cancers in the world. It remains a leading cause of cancer related death in the developing country. Various histologic subtypes seen in cancer cervix, squamous cell carcinoma (70%) is the most common one. Second common variety observed is adenocarcinoma which account for about 25% of cases. Other histologic subtypes are rare. Small cell neuroendocrine cervical carcinoma (SCNCC) is one of such uncommon variant that …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 5, Issue 2, 2016 · pp. 15–18 Read article
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A Case of Low-Grade Fibromyxoid Sarcoma: A Rare Soft Tissue Sarcoma
Abstract: Sarcomas are heterogeneous group of tumours that can occur throughout the body. Approximately two third of soft tissue sarcomas (STS) arises in the extremities. These rare tumours accounts for less than 1% cancers in adults. Treatment algorithm for STS depends on tumour stage, site and histology. A 28-year-male patient presented with complaint of swelling over the right anterior aspect of leg since past six months. He had a history of …
Published in Research and Reviews : Journal of Surgery · Vol. 7, Issue 1, 2018 · pp. 1–4 Read article
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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Conductive Polymer Nanocomposites for Wearable Cardiac Monitoring Devices
Abstract: Wearable cardiac monitoring devices are increasingly important tools for non-invasive, continuous assessment of cardiac health. Their growth is driven by increases in the incidence of arrhythmias and by a great demand for remote monitoring. This is changing with the use of conductive polymer nanocomposites (CPNCs). They combine physical properties of mechanical flexibility, high electrical conductivity, and good biocompatibility resulting in high precision, and comfortable sensing. CPNCs combine conductive polymers with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
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AI-Resistant Video CAPTCHA System
Abstract: CAPTCHA, which stands for Completely Automated Public Turing test to tell Computers and Humans Apart, is a tool that separates human users from automated bots. It is commonly used in web applications to stop bulk registrations, spam submissions, credential stuffing, and misuse of online services. Typically, CAPTCHAs involve recognizing distorted text, selecting images, or transcribing audio. These tasks are easy for people but challenging for automated programs. However, recent advances …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Deep Learning for Traffic Sign Recognition in Autonomous Vehicles: Challenges, Trends and Future Directions
Abstract: Traffic Sign Recognition (TSR) serves as a fundamental task in the domain of autonomous vehicles (AVs), enabling systems to detect, classify, and respond to road signs with the level of accuracy and speed required for safe navigation. As AV technology continues to evolve, the role of intelligent TSR systems has become increasingly vital. Traditional computer vision techniques, while foundational, often fall short under challenging real-world conditions such as poor lighting, …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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A Novel Software Cost Estimation Model Based on the Hybrid of Artificial Neural Network and Firefly Algorithm
Abstract: Software cost estimation is the prediction of software development effort and software development time required to develop a software project. Software cost estimation is a basic and important task for both successful execution of software development life cycle and its management interms of its cost & time. Accurate software cost estimation is considered to be a difficult task as the information about the software project to be developed at the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 38–45 Read article
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A Comorbid Algorithm to Significantly Compress Text Contents of Several Web Pages in Conformational Dynamics
Abstract: In this paper, we presented and achieved the compressing scheme of the textual language contents of several web pages. It presents a validation approach of detected alignment links between characters within the transcript through the mathematical transformation of a multimodal document framework of multimedia features. This entailment process exploits several features, from the structural level of the computational linguistics and its tokens. The obtained results provide the future foundation of …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 2, 2014 · pp. 1–3 Read article
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Understanding Text to Image Generation Techniques
Abstract: In recent years, Generative Adversarial Networks (GANs) have been successful in generating realistic looking detailed images and has applications in data augmentation, astronomy, photo editing. This survey gives a brief introduction and review’s recent improvement in Generative Adversarial Networks (GAN’s) to generate images from their text descriptions. We present their effectiveness, their improvement and further scope of research and discussion on this topic. Introduction: text to image generation is the …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 1, 2020 · pp. 18–24 Read article
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Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
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Multi-Modal Iris and Retina Recognition System using Discrete Hidden Markov Model based Score Fusion Technique
Abstract: The contribution of this work is to propose a model of multi-modal iris and retina recognition system where Hidden Markov Model based score fusion technique has been used for decision fusion approach. Two different uni-modal techniques such as iris recognition and retina recognition outputs are combined by using baseline reliability ratio based score fusion technique. CASIA iris dataset and DRIVE retinal dataset have been used to acquire the iris and …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 7–12 Read article
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The study of Density Functional Theory for dispersion relation in Carbon nanotube with dielectric medium in a coupling mode
Abstract: The author shall study the excitation of Surface Plasmon and Phonon on cylindrical polar semiconducting material. The possibility of their interaction has been discussed with the help of dispersion relation for the dual mode of CNT by using inherent properties of the dielectric interface in dual mode. The phonon dispersion relation of the CNT is calculated by large supercells containing an isolated nanotube, Density functional Theory, and plane wave basis …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 3, 2023 Read article