Against the backdrop of the synergistic advancement of rural revitalization and agricultural modernization, optimizing the Production-Living-Ecological (PLE) spatial pattern and introducing digital-intelligent technologies have become key pathways for enhancing sustainable rural development capabili...

Using model compounds to study the aquathermolysis reaction mechanism has been a cornerstone in understanding the complex chemistry underlying in-reservoir upgrading of unconventional oil resources, including oil shale, bitumen, and heavy and extra-heavy crude oils. These compounds, often selected t...

Propylene oxide (PO) is a crucial intermediate in the chemical industry, serving as a precursor for polyether polyols, propylene glycol, and various polymers. Traditional industrial PO production methods, such as the chlorohydrin and hydroperoxide routes, are hampered by significant environmental co...

The depletion of conventional hydrocarbons has forced researchers to focus on unconventional petroleum, i.e., heavy crude oils. However, the typical methods to recover the former are not suitable for the latter. Therefore, new technologies, such as supercritical water (SCW) upgrading, commercial and...

The 'Cold Start' problem, characterized by insufficient transaction history leading to inefficient personalization, represents one of the frequent challenges encountered in e-commerce systems. This issue, along with data sparsity resulting from limited product interactions, further complicates the r...

The potential loss of traditional Tunisian dishes threatens the sustainability of valuable cultural and nutritional traditions. To help preserve this rich heritage, a conversational AI system has been developed that employs advanced language processing and machine learning techniques to bring Tunisi...

As the core component of the copper top-blown smelting, the service life of the injection lance critically affects production stability. To monitor the operating condition of the injection lance, a data-driven model is proposed to predict the Remaining Useful Life (RUL) or service life, namely, the...

Federated learning is a collaborative machine learning paradigm that trains models across multiple computing nodes while aiming to preserve the privacy of local data held by participants. However, because of the open network environment, federated learning faces severe privacy and security challenge...

The growing demand for sustainable materials in green flexible electronics calls for alternatives to petroleum-derived polymers, which are non-biodegradable, resource-intensive, and environmentally harmful. This study presents the fabrication of bio-composite films using water hyacinth derived cellu...

Grey wolf optimizer (GWO) is an effective meta-heuristic technique which has been widely utilized to solve numerical optimization as well as real-world applications. However, GWO has some shortcomings, i.e., low solution accuracy, slow convergence, and easy stagnation at local optima in solving comp...