Autistic Spectrum Disorder (ASD) is a neurological disease characterized by difficulties with social interaction, communication, and repetitive activities. While its primary origin lies in genetics, early detection crucial, leveraging machine learning offers promising avenue for faster more cost-effective diagnosis. This study employs diverse methods to identify crucial ASD traits, aiming enhance automate the diagnostic process. We eight state-of-the-art classification models determine their...

The handling of plastic garbage has become a significant environmental and social issue worldwide, including in Bangladesh. This study thoroughly evaluates the methods used Bangladesh for managing trash, explicitly focusing on sorting, manufacturing, separation, recycling. research utilizes qualitative quantitative methods, such as surveys, interviews, analysis existing data, to get insights into present condition waste management infrastructure, policies, practices text examines...

Phase change energy storage (PCES) materials have attracted considerable interest because of their capacity to store and release thermal by undergoing phase changes. This paper offers a thorough examination the latest developments in PCES (PCESMs) wide‐ranging applications several industries. The text focuses primarily on most recent advances design creation PCESMs. It emphasizes investigation new (PCMs) that possess specific features, such as high latent heat, conductivity, cycling...

High melting point materials are essential to many different industries because of their unique qualities, rendering them invaluable for various uses. This paper investigates the features high materials, summarizes current advancements in field, and outlines vast range applications that these have domains like science, aerospace, energy, electronics. The discourse covers such as carbon-based, ceramics, intermetallic, refractory metals, emphasizing potential uses new roles contemporary...

Abstract Flow‐control techniques have attracted significant attention in many scientific areas due to their ability improve the effectiveness and regulate flow of aerodynamic devices. This study explores latest developments flow‐control techniques, specifically concentrating on cutting‐edge technologies plasma vortex generators (PVGs) actuators. By taking advantage ionization gases or air, actuators become a viable method for modifying an object's properties without needing physical moving...

This study presents a computational analysis of the effects winglets on aerodynamic performance NACA 4418 aircraft wings, focusing variations in pressure coefficients. Using Computational Fluid Dynamics (CFD) simulations, we evaluated behavior wings under various flight conditions. The primary objective was to determine how influence distribution across wing surface, which directly affects lift and drag characteristics. Our simulations utilized high-fidelity turbulence model accurately...

This paper presents a study of hard combination data fusion for cooperative spectrum sensing in Cognitive Radio (CR). We evaluated the performance with OR, AND and MAJORITY rules. Energy detection technique is used to sense presence primary user (PU) signal. Simulation result shows that OR rule best among gives better than DOI: http://dx.doi.org/10.11591/ijece.v2i6.1814

<title>Abstract</title> Panoramic image stitching is a fundamental technique in computer vision and graphics , widely utilized virtual tours, immersive experiences, robotic vision. However traditional cylindrical panorama techniques often face challenges with accumulated drift, resulting visual misalignments the final output. This paper presents novel approach to drift-free by dynamically adjusting focal length based on gap angle between first last images. The proposed method incorporates...

Spectrum sensing is a challenging task for cognitive radio.Energy detection one of the popular spectrum technique radio.In this paper we analyze performance energy to detect primary user (PU).Simulation results show that probability increases significantly when signal noise ratio increases.It also observed decreases bandwidth factor increases.

Computer Aided Diagnosis of liver tumors from abdominal Tomography (CT) images requires segmentation tumor. Automatic tumor CT is a challenging task due in part to the variation size, shape, and position on other presence objects with same intensity images. Therefore, it necessary segment first so that can then be segmented accurately. This paper presents new method for automatic The proposed uses combination analysis, region-growing preprocessing steps second region growing process segmentation.

Cryptographic techniques play crucial role when users exchange information. Multimedia plays an important in learning and sharing experiences. When multimedia contents are shared among the users, it faces security threats. Usually takes much space. Encryption technique should be time efficient. In this work we consider four encryption techniques: Blowfish, AES, XOR RSA types of media content: text, image, audio video. Simulation shows that AES is efficient than others. Comparing between...

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Because of the exceptional qualities, nano-hydroxyapatites, or n-HA, are excellent materials for diverse applications. It is simple and convenient to synthesize from various natural ingredients. The synthesis n-HA eggshells, a typical domestic waste product in neighborhood, was primary goal this study project. This performed using ammonia orthophosphoric acid as chemical reagents. synthesized have been characterized by UV (Ultraviolet), FTIR (Fourier Transformed Infrared Spectroscopy), SEM...

Nanoparticles (NPs) are synthesized in different methods such as physical or chemical which costly and harmful to the environment. However, green synthesis is a cost-effective environment-friendly NPs approach. Green-synthesized highly effective against various bacterial strains. Zirconium dioxide nanoparticles ([Formula: see text]) have been this research using approach for improved antimicrobial activity. For of NPs, Alocasia indica has used reducing agent. The extract was prepared reacted...

Graphene is considered an excellent material for biomedical applications because of its outstanding antimicrobial performance. However, the high synthesis cost and complexity make it difficult to apply this in numerous fields. This research focuses on synthesizing graphene nanoparticles (NPs) cost-effectively simply. Cost-effective chemicals were used here NPs. A simple easy technique has been followed throughout process. The synthesized NPs characterized by ultraviolet–visible (UV)...

Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye related disease such glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology optic disc boundary segmentation, which can be seen the preliminary step in development computer-assisted system images. The proposed method is based on morphological operations, Circular Hough transform grow cut algorithm. operators are used to enhance remove vasculature...

Musculoskeletal disorders are abnormalities of the bones, muscles, and joints that affect great majority people worldwide. Radiographic scans most widely used technique for detecting these aberrations as part medical diagnostics. Early-stage detection anomalies in radiographs is crucial patient. Moreover, bone fracture classification costly, more time-consuming, requires effort. These reasons have made deep learning-based classifier model a reliable alternative. In this study, we applied...