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10 articles for “Poor Visual”
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Visionary Companion: Revolutionizing Email Accessibility for the Visually Impaired
Abstract: The efficiency demands of technology have surged, particularly with the rise of virtual work, necessitating extensive communication resources. Email serves as a vital means for international communication and group messaging. While those with clear vision can easily utilize typing and emailing, individuals with color blindness or visual impairments face obstacles. Fortunately, numerous resources cater to those with visual disorders. This project aims to bridge this gap by creating a voice-based …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 21–28 Read article
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Study of Cost Overrun in Repair & Rehabilitation Projects in India
Abstract: In broad sense, the word "rehabilitation" suggested putting a building back to how it was before. The specialized area of repair and rehabilitation engineering necessitates knowledge and skills that go beyond those needed for design and construction engineering. Repair and rehabilitation projects are significantly more challenging and more complicated than new construction projects. It is vital to take a methodical approach to structural deterioration, and technology management and economics should …
Published in International Journal of Architectural Design and Planning Read article
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Role of ABCDE Rule in Wound Assessment
Abstract: The diagnosis of chronic wounds poses an interdisciplinary and interprofessional challenge. In routine clinical practice, the appropriate diagnostic workup is frequently carried out insufficiently. In addition to financial obstacles, those involved in the process often lack the required knowledge, a circumstance that must be overcome. Today, the treatment of patients with chronic wounds is thus, commonly, merely symptomatic and frequently not accompanied by determination of the exact cause. The ABCDE …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 Read article
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An Analytical Study on Learning Difficulties in Estimation Theory Among Undergraduate Engineering Students
Abstract: Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators. However, undergraduate students frequently struggle with its abstract properties, complex derivations, and prerequisite statistical concepts. This study investigates the key learning difficulties faced by students across multiple engineering branches using diagnostic tests, structured questionnaires, and interviews. The findings reveal that students commonly experience challenges related to weak probability …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Breaking the Cycle: The Impact of Hygiene Deficiencies on the Health of the Poor
Abstract: Poor sanitation and hygiene present significant health risks, particularly for individuals in low- income communities. Inadequate sanitation systems increase the likelihood of exposure to harmful microorganisms found in contaminated water, food, and environments. This exposure contributes to the spread of waterborne diseases such as cholera, dysentery, and typhoid, along with various gastrointestinal illnesses. Limited access to clean water and soap for handwashing exacerbates these risks, particularly for children, who are …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 1, 2025 · pp. 22–39 Read article
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Challenges of E-learning for Learners
Abstract: E-learning, the use of digital technologies for education, has become increasingly popular in recent years. However, learners face several challenges in this mode of learning. This abstract explores some of the key challenges faced by learners in e-learning environments. E-learning environments often lack the interpersonal engagement found in traditional classrooms, such as collaborative discussions, peer support, and networking opportunities, which can result in feelings of isolation and reduced motivation. Success …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Classification of Skin Disease Images Using EfficientNetTransfer Learning Technique
Abstract: Melanomous Skin lesions are among the deadliest kinds of cancer. Despite being a very uncommon skin condition, melanoma is responsible for 75% of cancer-related deaths. Dermatologists perform dermoscopy more commonly than any other procedure. Since it aggravates the skin condition, a dermatologist will be the first to identify it during an inspection. Because this strategy depends on the user's visual perception and experience, it can only be used by highly …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 1, 2024 · pp. 7–12 Read article
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Gene Annotation of Cancer Vaccine for Homo sapiens
Abstract: Objectives: Gene annotation helps us to deduce the structural and functional aspects of a gene that encodes for a functional protein in our body. Thus, by determining the coding sequence and gene location we can derive meaningful insights as to what these genes do in our body. In this study, an unknown gene, cancer vaccine for Homo sapiens has been studied and annotated. Methods: This study was based on a …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Gene Expression Profiling in Autism Spectrum Disorder: A Microarray Analysis Using Gse42133
Abstract: Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental disorder characterized by difficulties in social interaction, communication impairments, and restricted or repetitive patterns of behavior. Despite its increasing prevalence, the underlying molecular mechanisms remain poorly understood. Advances in transcriptomics offer opportunities to investigate the gene expression changes that may contribute to ASD pathophysiology. In this study, the microarray dataset GSE42133 was analyzed, which comprises gene expression profiles from peripheral blood samples …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 37–48 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article