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33 articles for “Entropy”
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Key Generation Algorithms Using Difference Equations with Multi-Precision Arithmetic: A Review
Abstract: Modern cryptographic systems rely on robust key generation to secure data and communication. This review explores the integration of difference equations and multi-precision arithmetic for cryptographic key generation, addressing limitations in traditional methods like pseudorandom number generators and chaotic systems. Difference equations produce deterministic yet chaotic sequences ideal for cryptography due to their sensitivity to initial conditions and nonlinearity. However, finite precision arithmetic can lead to periodicity and loss of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 23–36 Read article
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Corrosion and Corrosion Protection of Unio in Carbonic Acid Medium
Abstract: Unio is a calciferous animal, and its outer surface is made of calcium carbonate. It usually happens in sources of sweet water. They create carbonic acid by absorbing carbon dioxide. It changes the pH of sweet water sources thus water becomes acidic. It develops corrosive environment for Unio. Carbonic acid interacts with Unio to form corrosion cells on the interface of Unio. This acid oxidizes calcium carbonate into calcium ions …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 22–31 Read article
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Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters
Abstract: Due to the production of plastic products with complex shapes, the plastic injection moulding manufacturing method has recently received a lot of attention. In order to improve manufacturing performance, the cycle time for the injection moulding process has been reduced, the defect known as dimensional warpage that results from temperature differences inside the mould has been reduced, and the mechanical tensile strength of the material has been increased so that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 337–345 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Melanoma, a fatal type of skin cancer, is a major global health concern. For better patient outcomes, early and precise detection is essential. A branch of artificial intelligence called deep learning has demonstrated encouraging outcomes in medical image analysis, particularly the identification of skin cancer, in recent years. We present a new method for detecting melanoma skin cancer in this paper by utilizing the ResNet-50 architecture, a deep convolutional neural …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 · pp. 1–9 Read article
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Corrosion and Corrosion Protection of Cast iron due to Bio-organism
Abstract: Cast iron is a high tensile strength metal. It is generally used for making tools, pipe fitting, electrical fitting equipment and rail track. It interacts with corrosive substances to develop electrochemical cell on their interface. Corrosive substances are acids, bases, salts, bio-wastes, particulates and pollutants. These substances produce hostile medium for materials. These harmful wastes discharge by industries, households, agricultural, urbanization, development of infrastructure, construction works, thermal power stations, hydropower, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 105–114 Read article
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Randomized Latent Vectors for Enhanced Reinforcement Learning Exploration
Abstract: This paper investigates Random Latent Exploration (RLE), a novel reinforcement learning technique that enhances exploration using randomized latent vector conditioning. I evaluate RLE’s performance across various environments, including discrete control tasks (FourRoom), continuous control (IsaacLab), and complex visual domains (Atari games). The core approach augments traditional reward functions with intrinsic rewards, calculated as the dot product between state features and periodically resampled latent vectors. The policy and value networks are …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 19–25 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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Advanced Polymer Composite Coating for Thermal Performance and EEE Improvement of a Solar Energy Harvesting System
Abstract: The integration of carbon-based nanomaterials with polymer matrices presents a promising route toward advancing solar energy harvesting technologies. In this study, nanoparticle-blended polymer composite coatings are examined to evaluate the performance of FPSC, utilizing an unconventional collector setup and a multiple-carbon-based nanoparticle-blended paint polymer. Nanomaterial provides a crucial alternative for enhancing their thermal efficiency. The research findings reveal that the deformation of nanomaterials improves the heat efficiency of solar collectors. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1197–1222 Read article
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Polymeric Coating Applied for Corrosion Protection of Mild Steel in Corrosive Medium
Abstract: Mild steel is coated with a polymer layer of polybutadiene for protection. However, this coating does not effectively safeguard the metal in environments containing moisture, sulphur dioxide, or chloride. These pollutants interact with the polybutadiene-coated surface, creating a highly corrosive atmosphere. Moisture condenses on the coated metal surface and absorbs sulphur dioxide, forming sulphuric acid. This acid initiates both chemical and electrochemical reactions with the polymer-coated metal, accelerating the corrosion …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 49–53 Read article
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Corrosion Testing and Evaluation of Inhibitors Performance
Abstract: Choosing test methods that will analyze specific needs, like film barrier strength that real field settings is essential for the proper evaluation and development of inhibitors. The flowing loop and the bubble test are two examples of the first and second, respectively. Corrosion is measured by gravimetric, electrical noise, alternating-current impedance, potentiodynamic measurement, linear polarization and gravimetric. The inhibitors action can be analyzed in different corrosive environments. Their performance is …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 82–88 Read article
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Automated Microstructure Classification with Class-Specific Segmentation for Titanium Based Composite Materials
Abstract: In engineering, characterisation of microstructure is required to determine and forecast behaviour of titanium alloys. Our proposal in this work has been a deep-learning-based framework in the automatic classification and segmentation of Titanium Based Composite Material. The framework then uses EfficientNetB0 backbone, where we have chosen the backbone to scale the performance of classification and the computational efficiency with the assistance of the transfer learning and the compound scaling. In …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 424–433 Read article
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Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article