Abstract. Silk production is a crucial industry that relies heavily on the classification of silk cocoons to ensure the highest quality output. Traditional classification methods are labor-intensive, inconsistent, and subject to human error. Artificial Intelligence (AI)-based systems, particularly those using deep learning, have significantly improved classification accuracy. However, optimizing feature extraction techniques remains a challenge. This paper explores a hybrid approach that combines deep learning with traditional machine learning feature extraction methods to enhance classification accuracy and silk quality assessment [1][2]. This study examines various feature extraction techniques, including texture, shape, and color analysis, alongside CNN-based automatic feature selection. By integrating handcrafted features with AI-driven feature learning, we propose a robust classification system that improves efficiency and accuracy. The proposed approach is validated using real-world datasets, and its implications for large-scale silk production are discussed [3].
| Mualliflar | Sharifbayev, Raximjon |
|---|---|
| Jurnal | Наманган муҳандисликтехнология институти илмийтехника журнали |
| Nashr sanasi | 2025-03-31 |
| Jild | 10 |
| Son | 1 |
| Betlar | 20-23 |
| Til | Ingliz |
| DOI | 10.61151/stjniet.v10i1.700 |
DOI: 10.61151/stjniet.v10i1.700 · Maqolaning asl sahifasi
Annotation. This article analyzes the work being carried out in the Republic of Uzbekistan to reduce poverty by supporting the activities of small businesses. In this regard, within the framework of the "From Poverty to…
Iո this article, it was foսոd exрedieոt to obtaiո sսlfսr coոcrete based oո orgaոic ոitrogeո-coոtaiոiոg comрoսոds. Melamiոe, hүdraziոe, 2,4-diոitroрheոүlhүdraziոe, aոd bitսmeո were սsed as modifiers. The corrosioո…
This paper presents a comprehensive analysis of the physicochemical properties of distillate fractions obtained during the rectification of a mixture of oil and gas condensate (30% oil and 70% gas condensate). The study…
Waste recycling is one of the most important measures in waste management policy. In recent years, special attention has been paid to the issue of waste recycling in our country. Enterprises that emit large amounts of…
In the article, the mathematical model of the Tillage-cultivating unit was obtained. Based on the numerical solution of the system of motion equations of the machine unit, the laws of speed, acceleration and moment…
This article presents the results of a phase analysis of foot movement dynamics. Pathological changes in the ankle joint and the causes of their occurrence were also analyzed, and the foot with a pathological condition…
The chemical structure of oligomers synthesized based on hydroxybenzene-methanal and 2,5-furandione at different ratios and temperature ranges was studied using quantitative NMR spectroscopy methods. In addition to…
Particular attention is paid to the design of the cotton separator used in the process of separating raw materials from air in the technology of primarily processing cotton. This process is crucial for preserving the…
In this article, research was carried out to improve the brush drum-type Lintermachine, which effectively cleans the fluffy product obtained by linting cotton seeds from impurities. In the study, a brush drum that…
This paper examines steam temperature and its effect on moisture management properties in textile yarns. How steam temperature affects moisture uptake and release processes is examined, and effective management…
Наманган муҳандисликтехнология институти илмийтехника журнали — barcha maqolalar