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684 articles for “look”
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CHROMAWEAR: An AI Assisted Personalized Fashion Design Recommender System for Diverse Skin Tones to Enhance Fashion Choices
Abstract: In the age of fashion, we receive the same question every day: What should I wear today to look nice? The fashion industry is always changing, welcoming inclusivity and diversity. Still, despite the advancements, there are difficulties meeting people's varied needs, especially with regard to skin tone. This research work presents a personalized fashion design recommender system with artificial intelligence support to improve the fashion choices of people with different …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 49–58 Read article
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Mario Ai Model Using Gaming Reinforcement Learning
Abstract: It is essential for research on computational and/or artificial intelligence (CI/AI) applied to games to have relevant games to apply AI algorithms to. This is pertinent. It doesn't matter if one is studying how to use CI/AI techniques to test and improve AI (e.g., games provide challenging yet scalable problems which engage many central aspects of human cognitive capacity) or how to use CI/AI techniques to improve games (e.g., player …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 · pp. 1–6 Read article
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The Role of IoT and AI in Advancing Wastewater Treatment Plant Efficiency
Abstract: Wastewater treatment facilities, or WWTPs, are essential for protecting the environment and human health because they clean wastewater before it is released into natural water bodies. The operational effectiveness and efficiency of WWTPs have undergone a significant transformation as a result of the integration of smart technology for real-time monitoring and control. This review looks at new developments in smart technologies that are being used in WWTPs, including data analytics, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 28–33 Read article
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Advanced Helmet Recognition System with Integrated Number Plate Detection for Enhanced Traffic Monitoring Using Deep Learning
Abstract: This study focuses on the crucial problem of non-adherence to traffic regulations, particularly with the compulsory use of helmets by motorcyclists. Motorcycle accidents have a greater mortality rate compared to other types of accidents, indicating a need for a more effective enforcement strategy. Current procedures depend on traditional techniques where traffic officers manually observe traffic rule infractions through patrols and monitoring CCTVs, requiring substantial labor and time resources. The inherent …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 9–18 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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The Efficacy of Fig Extract on Some Candida spp.
Abstract: The study was conducted in Al-Amin Laboratory by preparing the alcoholic extract of fig leaves, which were collected from the garden of a house in Najaf Governorate / Al-Shuara’a during the month of December 2023 for the purpose of testing its inhibitory effectiveness against two isolates of the fungus Candida albicans and Candida dubliniesis taken from Al-Amin Scientific Research Laboratory, where serial concentrations of the extract were prepared (12,9,6,3) mg/ml., …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 19–23 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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To Rule Out the Efficacy of Haridradi Drugs in Respiratory Allergic Disorders in the Childrens.
Abstract: Allergic diseases in children have increased significantly in recent years and they are a major cause of morbidity in the children. Although there is a genetic predisposition, exposure to allergens i.e pollens, irritants, infections, diets and inhalant will determine the sensitization. At present, the best approach to the children who are at high risk for the development of allergies is to introduce environmental and dietary control and adopt early measures …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 53–60 Read article
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Description of The Tapeworm Anomotaenia Cohn, 1900 (Fam: Dilepididae) in Homing Pigeons Columbae liva and Domestic Chicken Gallus gallus domesticus
Abstract: The current study was carried out in the Governorate of Najaf from January 2023 to March 2023, and 20 tapeworms, Anomotaenia sp., were isolated from the intestines of 10 exporter pigeons (Columbae liva) and the intestines of 5 local chickens (Gallus gallus domesticus). morphological characteristics tapeworms were studied by examining the head area, mature segments and the choral data segment using optic microscope. The current study aimed to study the …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article
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Impact of Advanced Reinforcement Materials, Precise Plasticizer Utilization, and Thorough Processing Condition Optimization
Abstract: Material science is always changing, which has led to improvements in processing methods, plasticizers, and strengthening materials. These changes have led to new ideas in many fields. This abstract looks at how using advanced strengthening materials, exact plasticizer use, and thorough processing condition optimization can work together to make polymer-based materials perform better and have better qualities. When it comes to improving the dynamic qualities of plastics, reinforcement materials are …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 73–86 Read article
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Phytopharmacognostical Study and Development & Assessment of Topical Herbal Ointment from Leaves of Calotropis gigantea
Abstract: Joint pain is a common problem that affects people all over the world and calls for efficient treatment solutions. The present study investigated the creation of a topical formulation for the treatment of joint pain that uses an extract from the leaves of Calotropis gigantea. C. gigantea is sometimes referred to as huge milk weed and aak leaves. It is a member of the Apocynaceae family. This versatile plant has …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 114–120 Read article
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Depiction-inspired Recipe Generator Using Deep Learning
Abstract: Machine learning has become a crucial part of modern life, influencing various domains. Its applications range from enhancing data-driven business decisions to enabling autonomous vehicles. Advances in machine learning have brought about notable changes in how we interact with technology. In the culinary world, the idea of creating food recipes from images has gained increasing interest. This entails the development of innovative systems that seamlessly convert visual input, such as …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 47–55 Read article
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Interaction of Bioactive Component of Aframomum melegueta on Molecular Docking
Abstract: Computational mimicry of the structure of large complexes created by di- and poly-interaction of molecules has been termed molecular docking. The purpose of molecular docking is the prediction of the three-dimensional structures of interest, this is due to that docking only produces plausible candidate structures. The docking was carried out between the bioactive compounds against 5α-reductase, 3β-hydroxy-steroid dehydrogenase, and 17β-hydroxy-steroid dehydrogenase of returned binding energy, BE (kcal/mol) between -5.9 and …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 51–60 Read article
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Geospatial Measurement of Shrinking Lake Mead Using Multi-Temporal Datasets From 1987 to 2020 and Its Relationship with the Climate Change
Abstract: The study provides an overview of the relation between climate change and its harsh consequences, and thereby revealing evidence of extremes conditions such as drought. Lake Mead of USA is one such example which is a readily contracting lake. The reason is fast temperature increment, human exploitation, etc. therefore leading to jeopardized and devastating effects on life structure. GIS and Remote Sensing has emerged as an extraordinary key instrument for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 18–27 Read article
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A Random Forest Approach to Navigating Cryptocurrency Market Fluctuations
Abstract: This study looks at the main elements influencing daily price variations to improve our analysis and prediction of Bitcoin values. Our forecasting algorithm is based on comprehensive data that we have collected and analyzed over the last few years. Because the Random Forest algorithm provides more accurate forecasts than previous techniques, that is why we chose it. Predicting the price swings of cryptocurrencies, like Bitcoin, can be challenging due to …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 7–11 Read article
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Cogeneration System in Concentrated Photovoltaic Panels
Abstract: This study analyses the behavior of hybrid systems composed of photovoltaic panels (PV) and phase-change materials (PCM) under solar concentration conditions, aiming to generate electric and thermal energy in water simultaneously (cogeneration). This work looks for system performance improvement while increasing the generated power and energy by the PV panel and the thermal system in unison. The study shows the increase in power and energy delivered by the prototype compared …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–14 Read article
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A Comprehensive Review on Teaching Students with Learning Disabilities: The Potential of VR and AR Technology
Abstract: In terms of enhancing learning experiences, the use of virtual reality (VR) and augmented reality (AR) in education has shown encouraging outcomes. These technologies offer immersive, interactive environments that are extremely beneficial to students who struggle with learning. to assess how VR and AR affect learning outcomes in general as well as motivation, engagement, and academic performance. We'll examine how these resources might be applied to support children who face …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 31–36 Read article
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Identification of the Potentialities of Ecotourism
Abstract: Khalkhal town's climate, geography, topography, ecological conditions, vegetation, and green spaces make it an exceptional tourism destination. Located in the Talesh foothills, Khalkhal enjoys a favorable climate and abundant water resources, attracting nature lovers. To unlock the town's tourism potential, it is crucial to assess its diverse attributes. Information layers such as slope, geographical direction, vegetation, and climate are individually analyzed. The best zones for the development of ecotourism in …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 1–8 Read article
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Crime Prediction and Criminal Identification System Using Machine Learning
Abstract: Advanced machine learning and data analytics-driven crime prediction and criminal identification systems have become game-changing instruments for contemporary law enforcement. Utilizing past crime statistics, surveillance footage, and additional resources, these systems forecast criminal activity, manage resources efficiently, and improve investigation capacities. With an emphasis on their importance in enhancing public safety and lowering crime rates, this paper presents an overview of criminal identification and prediction systems. Examining the technologies and …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Decoding Trauma, Identity, and Resilience to Caste-based Oppression in Premanand Gajvee’s Kirwant
Abstract: Dalit literature, deeply rooted in political reform and personal confession, often explores societal and individual challenges stemming from the Ambedkarite movement's rebellion and efforts. Premanand Gajvee, a celebrated Marathi playwright and poet, a seminal figure in Dalit literature, is celebrated for his contributions to the Dalit Theatre of Protest. His play Kirwant, inspired by the real-life issues of lower-caste Marathi Hindu Brahmins, critiques societal flaws. This study focuses on the …
Published in Emerging Trends in Languages · Vol. 1, Issue 2, 2024 · pp. 14–20 Read article