ABSTRACT Maize is a staple crop worldwide, essential for food security, livestock feed, and industrial uses. Its health directly impacts agricultural productivity economic stability. Effective detection of maize crucial preventing disease spread ensuring high yields. This study presents VG‐GNBNet, an innovative transfer learning model that accurately detects healthy infected crops through two‐step feature extraction process. The proposed begins by leveraging the visual geometry group...

Medicinal plants are essential to healthcare since ancient times and integral developing drugs other medical treatments. More than 25% of medicines in developed countries produced from medicinal plants, while countries, approximately 80% individuals receive primary these plants. Traditionally, identified manually by experts, which is tedious, time-consuming, subjective dependent on the availability experts. Furthermore, a wrong detection can result serious health issues or death. This...

Online platforms are fostering social interaction, but unfortunately, this has given rise to antisocial behaviors such as cyberbullying, trolling, and hate speech on a global scale. The detection of aggression become vital aspect combating cyberbullying cyberharassment. Cyberbullying involves using aggressive offensive language including rude, insulting, hateful, teasing comments harm individuals media platforms. Human moderation is both slow expensive, making it impractical in the face...

This study proposes a novel light detection and ranging (LiDAR) sensor. The sensor integrates variable field-of-view (FoV) function by utilizing optical orthogonal frequency-division multiple access (OOFDMA) to generate laser pulse streams Risley prism for steering. Using this approach, the LiDAR can adjust scanning pattern density of point cloud match different sizes, distances, distributions objects. To ensure security against external threats, incorporates advanced encryption standards...

This study emphasizes a multi-pronged approach to improving the energy efficiency of Multi-Effect Evaporator (MEE) in paper industry. By incorporating traditional Energy-Saving Schemes (ESSs) and innovative renewable sources, demonstrates significant potential for reducing consumption environmental impact, making it decisive pathway industrial sustainability. Key ESS strategies include Thermo-Vapor Compressors, Feed Preheaters, Steam- Feed-Split, which are employed enhance Steam Economy (SE)...

The agriculture field is the basis of a country's change and financial system. Crops are main source revenue for people. One farmer's most challenging problems choosing right crops their land. This critical decision has direct impact on productivity profit. Wrong crop selection not only reduces yields but also causes food shortages, creating more farmers. best depends many parameters such as illustration humidity, N, K, P, pH, rainfall, temperature soil. Getting advice from experts an easy...

Wheat is one of the world's most widely cultivated cereal crops and a primary food source for significant portion population. goes through several distinct developmental phases, accurately identifying these stages essential precision farming. Determining wheat growth crucial increasing efficiency agricultural yield in Preliminary research identified obstacles distinguishing between stages, negatively impacting crop yields. To address this, this study introduces an innovative approach,...

Fruits contain good nutrients such as protein and vitamins; therefore, fruits are usually used complementary food ingredients. Apple fruit is one of the most important traditional table in temperate zone besides being commonly consumed world. Apple’s freshness a decisive characteristic consumer choice. Consumption may increase if apples satisfactory quality provided to consumers. Reduced canned apple results significant spoilage during storage distribution, affecting both agricultural...

Software defect identification (SDI) is a key part of improving the quality software projects and lowering risks that along with maintenance. It does identify causes have not been reached yet to get sufficient results. On other hand, many researchers recently developed several models, including NN, ML, DL, advanced CNN, LSTM, enhance effectiveness prediction. Due an insufficient dataset size, repeated investigations, no longer appropriate baseline selection, research on CNN model was unable...

Humans can carry various diseases, some of which are poorly understood and lack comprehensive solutions. Such a disease exists in human eye that affect one or both eyes is diabetic retinopathy (DR) impair function, vision, eventually result permanent blindness. It those complex complexities. Therefore, early detection DR significantly reduce the risk vision impairment by appropriate treatment necessary precautions. The primary aim this study to leverage cutting-edge models trained on diverse...

New approaches to software testing are required due the rising complexity of today's applications and rapid growth engineering practices. Among these methods, one that has shown promise is introduction Natural Language Processing (NLP) tools NLP witnessed a rise in popularity within all IT fields, especially engineering, where its use improved way we extract information from textual data. The goal this systematic literature review (SLR) provide an in-depth analysis present body on expanding...

Abstract Blood cancer has emerged as a growing concern over the past decade, necessitating early diagnosis for timely and effective treatment. The present diagnostic method, which involves battery of tests medical experts, is costly time-consuming. For this reason, it crucial to establish an automated system accurate predictions. A particular field focus in research use machine learning leukemia microarray gene data blood diagnosis. Even with great deal research, more improvements are needed...

Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hyperthyroidism or hypothyroidism, which can significantly impact metabolism and overall health. Hypothyroidism cause slowdown in bodily processes, symptoms such as fatigue, weight gain, depression, cold sensitivity. Hyperthyroidism lead increased metabolism, causing like rapid loss, anxiety, irritability, heart palpitations. Prompt diagnosis appropriate treatment are crucial managing improving...

Recent developments and the widespread adoption of remote sensing data (RSD) gave rise to various hyperspectral imaging (HSI) applications. With its detailed spectral information, HSI has been adopted for use in agriculture-related These applications demand more accurate classification, highlighting significance plant disease detection, crop etc. Despite existing models RSD-based agricultural applications, such lack generalizability classification. This task is challenging UNet-based...

Wafer mappings (WM) help diagnose low-yield issues in semiconductor production by offering vital information about process anomalies. As integrated circuits continue to grow complexity, doing efficient yield analyses is becoming more essential but also difficult. Semiconductor manufacturers require constant attention reliability and efficiency. Using the capabilities of convolutional neural network (CNN) models improved hierarchical module (HAM), wafer hotspot detection achieved throughout...

The classification of bird species is significant importance in the field ornithology, as it plays an important role assessing and monitoring environmental dynamics, including habitat modifications, migratory behaviors, levels pollution, disease occurrences. Traditional methods classification, such visual identification, were time-intensive required a high level expertise. However, audio-based promising approach that can be used to automate identification. This study aims establish system...