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Climate change adaptation in agriculture food supply chains: a bibliometric and content analysis

Rahmanwali Sahar, Munjiati Munawaroh, Jawidullah Iqbal • Discover Sustainability (2025)

Abstract This study explores the intellectual development and research landscape surrounding climate change adaptation in agricultural food supply chains through a combined bibliometric and content analysis. The primary objective is to map ...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02105-9

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Evaluation of Indicators for the Realization of the Development of Public-Oriented Urban Transportation (Study Case: District 11 of Tehran)

Sayyed Jalal Aldin Hosseini, Azita Rajabi, Afshin Safahan, Aliasghar Rezvani • برنامه‌ریزی توسعه شهری و منطقه‌ای (2024)

Transit-Oriented Development (TOD) represents a significant facet of sustainable urban planning aimed at addressing urban traffic challenges through the strategic expansion of public transportation systems. District 11 within the municipali...

DOAJ Open Access (DOAJ) DOI: 10.22054/urdp.2023.55092.1248

New trends in natural language processing: statistical natural language processing.

Mitchell P. Marcus • Proceedings of the National Academy of Sciences (1995)

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.92.22.10052 PMC: 40734

Hybrid Model Based on an SD Selection, CEEMDAN, and Deep Learning for Short-Term Load Forecasting of an Electric Vehicle Fleet

Ahmad Mohsenimanesh, Evgueniy Entchev, Filip Bosnjak • Applied Sciences (2022)

Forecasting the aggregate charging load of a fleet of electric vehicles (EVs) plays an important role in the energy management of the future power system. Therefore, accurate charging load forecasting is necessary for reliable and efficient...

DOAJ Open Access (DOAJ) DOI: 10.3390/app12189288

Simulation of Flow-Induced Vibration and Dynamic Performance of Circular-Arc Helical Gear Pump under Background of Machine Learning

Xiaoling Wei, Yongbao Feng, Xiaoxia Han, Zhenxin He • International Transactions on Electrical Energy Systems (2022)

At present, with the continuous development and great improvement of mechanical manufacturing, processing, and assembly technology, mechanical flow-induced vibration (FIV) with a relatively concentrated frequency domain can be controlled by...

DOAJ Open Access (DOAJ) DOI: 10.1155/2022/9513357

Introduction to Machine Learning

Arvind Kumar Tiwari • IGI Global eBooks (2019)

Machine learning refers to the changes in systems that perform tasks associated with artificial intelligence. This chapter presents introduction types and application of machine learning. This chapter also presents the basic concepts relate...

OPENALEX DOI: https://doi.org/10.4018/978-1-7998-0414-7.ch003