[HTML][HTML] Deep reinforcement learning-based dynamic scheduling for resilient and sustainable manufacturing: A systematic review

C Zhang, M Juraschek, C Herrmann - Journal of Manufacturing Systems, 2024 - Elsevier
Dynamic scheduling plays a pivotal role in smart manufacturing by enabling real-time
adjustments to production schedules, thereby enhancing system resilience and promoting …

Utilization of AI–reshaping the future of food safety, agriculture and food security–a critical review

J Rugji, Z Erol, F Taşçı, L Musa… - Critical Reviews in …, 2024 - Taylor & Francis
Artificial intelligence is an emerging technology which harbors a suite of mechanisms that
have the potential to be leveraged for reaping value across multiple domains. Lately, there is …

Insect identification in the wild: The ami dataset

A Jain, F Cunha, MJ Bunsen, JS Cañas, L Pasi… - arXiv preprint arXiv …, 2024 - arxiv.org
Insects represent half of all global biodiversity, yet many of the world's insects are
disappearing, with severe implications for ecosystems and agriculture. Despite this crisis …

[HTML][HTML] Performance Analysis of YOLO and Detectron2 Models for Detecting Corn and Soybean Pests Employing Customized Dataset

GPS de Almeida, LNS dos Santos, LR da Silva Souza… - Agronomy, 2024 - mdpi.com
One of the most challenging aspects of agricultural pest control is accurate detection of
insects in crops. Inadequate control measures for insect pests can seriously impact the …

End-to-end Solution for Tenebrio Molitor Rearing Monitoring with Uncertainty Estimation and Domain Shift Detection

P Majewski, P Lampa, R Burduk… - Proceedings of the …, 2024 - openaccess.thecvf.com
The large-scale rearing of edible insects of which Tenebrio Molitor is a representative
requires monitoring using vision systems to control the process and to detect anomalies …

The Application of Knowledge Graph Convolutional Network-Based Film and Television Interaction Under Artificial Intelligence

H Yang, JH Li, SG Jahng - IEEE Access, 2024 - ieeexplore.ieee.org
This study aims to explore the application and innovation of deep learning in film and
television interaction in the context of artificial intelligence. By analyzing the interaction …

Low-frequency vibration bandgaps and deep learning-based intelligent design method of Y-shaped core sandwich metabeams

D Chen, Y Li, Z Pan, X Li, T Xu, X Li - Composite Structures, 2024 - Elsevier
In this paper, the wave propagation mechanics theoretical model of Y-shaped core
sandwich metabeams with local resonators is established based on the spectral element …

Parasitoids as biocontrol agents in India

S Kumaraswamy, KAV Sindhura, DH Radhika… - Current Opinion in Insect …, 2024 - Elsevier
Amid concerns over chemical pesticide resistance and its associated environmental
hazards, parasitoids offer an alternative long-term solution to manage insect pests in …

Deteksi Potensi Menyontek Menggunakan Feedforward Neural Network Pada Ujian Daring

L Hadibrata, TH Rochadiani - SINTECH (Science and Information …, 2024 - jurnal.instiki.ac.id
Pendidikan di Indonesia merupakan salah satu faktor pendukung yang dapat menjadikan
Indonesia menjadi negara maju. Akan tetapi masih banyak pelajar yang melakukan praktik …

The unpaved road towards efficient selective breeding in insects for food and feed—A review

LS Hansen, SF Laursen, S Bahrndorff… - Entomologia …, 2024 - Wiley Online Library
Insect production for food and feed presents a promising supplement to ensure food safety
and address the adverse impacts of agriculture on climate and environment in the future …