Jilin Vocational College of Industry and Technology

Exploring Deep Learning Models for Environmental Optimization in Morel Mushroom Cultivation

ABSTRACT Morchella mushrooms ( Morchella spp.) are highly valued edible fungi due to their distinctive flavor and medicinal benefits. However, their artificial cultivation remains challenging because growth is extremely sensitive to environmental fluctuations and complex interact...

Rational Construction of Indium-TiO2 Interfacial Composites for Boosting Urea Electrosynthesis

The electrocatalytic co-reduction of CO2 and nitrate to urea offers a sustainable route for carbon fixation, nitrogen waste recycling, and high-value chemical production. However, the rational design of efficient electrocatalysts with synergistic activation capability toward both...

Weather-guided decomposition and hard-routing expert modeling for short-term photovoltaic power forecasting

Solar energy has become a pivotal renewable resource in modern power systems; however, the stochastic and weather-dependent variability of photovoltaic (PV) generation continues to challenge accurate power forecasting and grid operation. This study proposes a weather-adaptive for...

Wholly bio-based hyperbranched waterborne polyurethane coatings reinforced with surface-engineered cellulose nanofibers for sustainable wood protection

Bio-based waterborne polyurethane (BWPU) coatings have drawn attention as renewable alternatives to petroleum-based wood finishes for Larix gmelinii , yet their mechanical strength, hardness, and barrier properties remain insufficient for demanding applications. In this work, cel...

Preparation and performance of non‐toxic silica sol/melamine‐glyoxal composite dye modifier for staining fast‐growing poplar

Abstract To address the poor mechanical strength and surface color of fast‐growing poplar wood, and to avoid the environmental hazards posed by formaldehyde emissions from resin‐based dyeing modifiers, a composite modifier was formulated in this study. This modifier was fabricate...

A deep learning-based video forensic and intelligence analysis system for Skynet–Mizong surveillance

Abstract To address the challenges of cross-domain target association, identity drift, and temporal inconsistencies in multi-camera video surveillance scenarios, this paper proposes a deep learning-based “Skynet-Tracking” video investigation and analysis system. This system unifi...