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269 articles for “ANN”
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From Space to Sea: Leveraging Satellite Technology for Monitoring Marine Debris
Abstract: Marine trash endangers ecosystems, so efficient detection is critical. This article describes a novel strategy for improving detection accuracy by integrating YOLOv7 instance segmentation with attention processes. Three models are evaluated: lightweight coordinate attention, the convolutional block attention module (CBAM) for spatial-channel focus, and the bottle neck transformer, which relies on self-attention. On an annotated satellite image dataset, CBAM has the greatest F1 scores in box recognition (77%) and mask …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 1–9 Read article
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Performance Evaluation of Tympanostomus Fuscatus (Periwinkle) Shell Powder as Alternative to Silica Flour in High Temperature Well Cementing Operation
Abstract: The effect of high temperature on cement slurry is a problem in the oil and gas drilling industry. Over the years, silica flour was used to prevent the strength of cement that results from high temperature effect. But, the silica flour is imported and not environmentally friendly. Hence, the need for local material that can serve as alternative becomes imperative. periwinkle shell (Tympanostomus fuscatus) was tested in the laboratory to …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–11 Read article
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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Design of Plant for the Production of 30,000 Tons Per Year Capacity of Dimethyl Carbonate (DMC) from Natural Gas Using Aspen HYSYS
Abstract: This study focuses on the design of a plant for the production of 30,000 tons per year of dimethyl carbonate (DMC) from natural gas. The plant design was carried out using the Aspen HYSYS Software. The data obtained from Kokori natural gas served as the primary feedstock for the plant. A kinetic model for the production of DMC was developed from existing literature, followed by the development of the mathematical …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 3, 2025 · pp. 45–60 Read article
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AI-Driven Multi-Objective Optimization of Conductive Polymer Composites for High-Performance Flexible Electronics
Abstract: The development of conductive polymer composites (CPCs) is critical for advancing flexible and wearable electronic technologies. However, the conventional trial-and-error approach to material formulation is time-consuming and often inefficient due to the high-dimensional nature of the design space. This study introduces a novel AI-driven framework that integrates machine learning (ML) with multi-objective optimization to accelerate the discovery of high-performance CPCs. A dataset of 1,000 experimentally reported formulations was compiled, capturing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 734–745 Read article
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AI-Driven Prediction of Mechanical and Thermal Properties in Polymer-Based Functionally Graded Composites
Abstract: The proposed architecture of the current paper is an artificial intelligence (AI)-driven model of forecasting mechanical and thermal aspects of polymer-based functionally-graded composites (FGCs). Traditional micromechanical and finite element models, which are practical in homogeneous composites, might not be able to account in nonlinear interaction that is caused by compositional gradient. To overcome the challenge, machine learning (ML) models like artificial neural network (ANN), support vectors regression (SVR), and gradient-boosted …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 70–89 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–12 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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Assessment of Reservoir Storage Capacity and Silt Deposition Using Advanced Instruments: A Case Study
Abstract: Reservoirs on the upstream side of sediment-laden river dams fill with sediment over time, lowering their storage capacity. This research focuses on advanced instrumentation techniques used to analyse storage capacity and estimate the quantity of sedimentation deposited in the reservoir at Kadana Dam, Kadana Village, Mahisagar District, Gujarat, India. During the research investigations, a multi-frequency acoustic system with frequencies of around 33 KHz and 210 KHz was employed to assess …
Published in Journal of Control & Instrumentation Read article
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Review on Advances in Production of Hybrids in Orchids
Abstract: Orchids are highly valued due to its exotic beauty, fragrant and long-lasting qualities. The orchid with its 20,000 to 30,000 species in some 700 to 800 genera is known to belong to one of the largest family “Orchidaceae” among flowering plants, and exhibits almost innumerable hybrid and limitless varieties. A hybrid is biologically defined as the offspring of two different organisms. In orchids, hybridization plays a vital role in development …
Published in Research and Reviews : Journal of Crop science and Technology Read article
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A Review on Manihot Esculenta Species
Abstract: Manihot esculenta, which is commonly known as Cassava, is a woody shrub that provides a high source of carbohydrate. It is an annual crop native to tropical and subtropical regions of the world. Nigeria is the largest producer of the cassava plant. The parts of the plant like leaves, roots, stems, etc are consumed in a variety of ways as they have been shown to possess activities like analgesic, anti-inflammatory …
Published in Research & Reviews : Journal of Botany Read article
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Quality Appraisal for the Ornamental Bird, Fish, Dog, and Cat Foods Available in Bangladesh
Abstract: The study aimed to assess if the chemical composition of different avian, aquatic, dog, and cat foods commonly available in Chattogram, Bangladesh adheres to the recommended standards. Food samples were collected and subjected to proximate analysis for the dry matter (DM), crude protein (CP), crude fibre (CF), ether extract (EE), nitrogen free extract (NFE), and total ash (TA). The plant seeds used for ornamental birds exhibited substantial variability in terms …
Published in Research and Reviews : Journal of Veterinary Science and Technology Read article
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A Review on Medicinal Properties of Chickpea and Its Profile
Abstract: Cicer arietinum is the most well-known vegetable and seen everywhere in the world, particularly in Afro-Asian nations. It has a place with family Fabaceae and appropriated in tropical, sub-tropical and calm districts. It is an annual crop with 20–100 cm tallness and the stems are spread, erect while root framework is vigorous and leaves are made of 11–15 individual handouts which are oval fit as a fiddle. The blossoms are …
Published in Research and Reviews : Journal of Crop science and Technology Read article
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Zero Energy Cool Chamber (ZECC): A Unique Low-cost Food Preservation System
Abstract: Zero energy cool chamber (ZECC) is an environment friendly or eco-friendly and low-cost post-harvest technology which can be made up with locally available low-cost materials like brick, sand etc. For this reason, it can easily be constructed in rural and remote areas. It is mainly used to store fruits and vegetables. It does not need any electricity, that is why it also saves energy. Temperature and humidity are two important …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Baggage Detection and Recognition Using Local Tri-Directional Pattern
Abstract: Nowadays, pattern-based image retrieval algorithms are gaining popularity just because of their uniqueness. There are several issues in the previously proposed systems. The proposed system resolves issues highlighted in the literature. Our proposed system is tested on two image datasets ILIDS and PETS 2006. LTDP provides good results as compared to LBP in baggage detection on two classes that either bag is present or not in an image because LTDP …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 8–17 Read article
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A Virtual Reality—Metaverse and Its Trends
Abstract: In 1992, the concept of a metaverse was first introduced to the public. Metaverse, as its name implies, is a mashup of the terms "meta" and "universe," where "meta" is Greek for "beyond”. As a result, it means beyond our current understanding of the universe. It exists in the virtual world but feels just as real. In a metaverse, various virtual spaces are combined into a single, persistent, 3D environment. …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 44–49 Read article
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Usefulness of Video Assisted Education Programme Concerning Awareness on Management of Selected Nutritional Deficiency Disorders Among Mother of Adolescent Girls at Selected Rural Area of Kolar Taluk
Abstract: Background: With an estimated 190 million adolescents, 22% of whom are girls, India has one of the fastest increasing youth populations in the world. Adolescence, as defined by the WHO, is the period between the ages of 10 and 19, which provides a window of opportunity for improving nutritional status and reversing unhealthy eating habits. A growth spurt, or a time when growth is incredibly rapid, is what defines adolescence. …
Published in International Journal of Women's Health Nursing And Practices · Vol. 1, Issue 2, 2023 · pp. 1–5 Read article
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A Parametric Approach for Decision Making of Low-carbon Building Envelope Design
Abstract: Buildings are major contributors of total carbon emissions than all other categories globally. to reduce these emissions by some quantity must propose the better design before construction. For that, this study proposed a different combinations of building envelope analyzed. From that the best configuration can be implemented for construction to reduce emissions from building at different stages. Through the use of e-QUEST version 3.65, a total of some wall construction …
Published in Journal of Polymer & Composites · Vol. 11, Issue 5, 2023 · pp. 35–43 Read article