Search
1952 articles for “technique” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Optimization of Automatic Energy Management System Using Renewable Resources
Abstract: With the increasing demand for energy efficiency and sustainability, smart home energy management systems (SHEMS) have emerged as promising solutions to optimize residential energy consumption. This paper presents a comprehensive review of SHEMS technologies, focusing on their design, implementation, and impact. SHEMS integrates advanced sensors, real-time data analytics, and intelligent algorithms to monitor, control, and optimize energy usage within the home environment. By leveraging machine learning and predictive modelling techniques, …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
-
Breast Cancer: Susceptible Genes and Significant Risk Factors
Abstract: Breast cancer is the most common malignancy affecting women globally. In 2012, around 1.67 million new cases were reported worldwide. With the increase in life expectancy in developed countries, the incidence of breast cancer among older adults has risen significantly. In 2017, an estimated 252,710 new cases of invasive breast cancer were recorded, along with 6,341 cases of breast cancer in situ in the USA. About 24% of all breast …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 36–43 Read article
-
An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
-
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
-
Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
-
Visualizing Complexity: Navigating Algorithms with Algorithm Visualizer
Abstract: We think that studying algorithms may be amusing and exciting. Many students are currently struggling, but we hope to change that. Our strategy is to emulate gaming while learning. We're building hands-on learning exercises, such as mazes and patterns, to convey key concept. To help students understand how algorithms function in practice, we also use some stunning visualizations. Three major categories of algorithms are under our purview: sorting, pathfinding, CPU …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 21–26 Read article
-
Accelerate Drug Development with Pharmacokinetic Softwares
Abstract: During continuously evolving technologies and mechanized equipments, there has been a tremendous growth in the pharmaceutical sector over the past few decades. New technologies, software, devices, and techniques are being developed or researched upon with each passing day. By leveraging pharmacokinetic software, researchers can efficiently analyze vast datasets from preclinical and clinical studies, extracting actionable insights that inform decision-making early in the development cycle. This predictive capability not only accelerates …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
-
Rethinking Type-1 Diabetes Treatment: Emerging Medicines Based on AAT Therapy and C-peptide Preservation Therapy
Abstract: The increasing number of cases, especially in the younger age group, along with the lack of accessible clinical solutions, make Type-1 Diabetes (T1D) a growing global health concern. While gene therapy and transplantation approaches are promising avenues, their excessively high costs and logistical difficulties make them inaccessible to the majority and can impose a financial burden on those suffering from it, adding to the challenges already faced by these advanced …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 19–29 Read article
-
Bioremediation Strategies to Address the Menace of Oil Spills
Abstract: Bioremediation is an innovative and effective process that leverages the capabilities of microorganisms to address and mitigate contamination in both soil and water environments. This technique is particularly valuable in the context of surface oil spills, where it presents significant advantages over traditional physical and chemical remediation methods. Unlike physical methods, which often involve the use of barriers and skimmers to remove oil from the surface, or chemical methods, which …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 3, 2024 · pp. 43–56 Read article
-
Nano- Catalysts for Enhanced Performance in Hydrogenation Reactions
Abstract: The development of nano-catalysts has revolutionized the field of hydrogenation reactions, offering unparalleled efficiency and selectivity. This study explores the synthesis, characterization, and application of novel nano-catalysts designed to enhance hydrogenation processes. By leveraging advanced materials science techniques, we have engineered catalysts with precisely controlled particle sizes, shapes, and surface properties. These nano-catalysts exhibit remarkable activity and stability, attributed to their high surface area-to-volume ratios and unique electronic structures. Our …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 22–27 Read article
-
Cattle Health Monitorng System with Smart Shelter
Abstract: The primary methods of managing cows prior to the development of modern cow health monitoring systems with smart shelters were manual intervention by farmers and traditional processes. These techniques were often less precise and more labour-intensive than modern technical alternatives. Livestock shelters used to often be simple structures, such as sheds or barns, that provided basic weather protection. These shelters lacked modern conveniences like climate control and mechanized feeding systems. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 15–20 Read article
-
Multitarget Molecular Docking Using Curcuma longa Phytocompounds for Polycystic Ovary Syndrome Treatment
Abstract: Objective: The primary goal of this research is to understand and describe specific aspects of molecular interaction, it includes studying various aspects such as binding affinity, binding mode, and stability of the ligand-protein complex. Molecular docking is a computational technique used to predict the preferred orientation of one molecule to a second when bound together to form a stable complex. In this study, molecular docking will be employed to stimulate …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 15–28 Read article
-
Performance Evaluation of Adverse Atmospheric Effects on Free Space Optical Communication
Abstract: There is an increasing need for communication systems that can accommodate high bandwidth and quick data transfer rates in today's fast-paced technological environment. Free Space Optical (FSO) communication has become a very attractive technology to address these changing needs. FSO systems, which use license-free infrared beams, have a number of benefits, including strong bandwidth, immunity to interference, improved security, and small, light designs. FSO is used in many different applications, …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
-
Synthesis And Application of Nano Zinc Oxide in Fabrication of Rubber Composites
Abstract: Nano zinc oxide (ZnO) has garnered significant attention in recent years due to its unique properties and potential applications in various fields. This paper discusses the synthesis of nano ZnO by precipitation method and characterizes them with various techniques such as X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), and Fourier Transform Infra-Red (FTIR) Spectroscopy and explores its application in the preparation of rubber composites. These synthesized particles were measured to …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 1–10 Read article
-
Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
-
Voices of Confinement and Rebirth: The Yellow Wallpaper, Daddy and Lady Lazarus
Abstract: Female authors in contemporary literature play a crucial role in reshaping the portrayal of mental illness, offering nuanced narratives deeply rooted in women's experiences. They address the complex intersection of mental health and societal expectations, exploring themes such as gender roles, body image, and trauma with sensitivity. These authors highlight women's unique challenges in treatment systems and advocate for gender-sensitive approaches in mental healthcare. Through diverse and complex characters, female …
Published in Emerging Trends in Languages · Vol. 1, Issue 2, 2024 · pp. 21–30 Read article
-
Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
-
Deep-globe Challenge for Road Extraction Using Convolution Neural Network
Abstract: High-resolution lackey pictures contain a riches of information. They're too intense to decipher. For various operations, it's vital to snappily and straightforwardly distinguish streets from fawning pictures. The thought is to create a bracket demonstration to prize street systems from today’s pictures. The technique of the proposed strategy is grounded on the pre-processing of the disciple information to enhance the picture quality, which in turn comes about in superior comes …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
-
Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
-
Robust Control System for Missiles in the Presence of Uncertainty and Disturbances: A Comprehensive Review
Abstract: In today's warfare and defense systems, when precise and quick maneuvering is essential for mission accomplishment, missiles play a critical role. Nonetheless, the intricacy of missile dynamics by itself, combined with external disruptions and unpredictabilities in operational circumstances, provides challenging but ambitious conditions for achieving precise trajectory tracking and robust flight control. Missiles perform in highly dynamic and uncertain environments where factors such as aerodynamic disturbances, various atmospheric conditions, and …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article