Indices and models of surface water quality assessment: Review and perspectives

Environmental Pollution, Год журнала: 2022, Номер 308, С. 119611 - 119611

Опубликована: Июнь 15, 2022

Язык: Английский

---

Incorporation of water quality index models with machine learning-based techniques for real-time assessment of aquatic ecosystems

Environmental Pollution, Год журнала: 2024, Номер 355, С. 124242 - 124242

Опубликована: Май 27, 2024

Язык: Английский

---

Applications of deep learning in water quality management: A state-of-the-art review

Journal of Hydrology, Год журнала: 2022, Номер 613, С. 128332 - 128332

Опубликована: Авг. 23, 2022

Язык: Английский

---

A hybrid decomposition and Machine learning model for forecasting Chlorophyll-a and total nitrogen concentration in coastal waters

Journal of Hydrology, Год журнала: 2023, Номер 619, С. 129207 - 129207

Опубликована: Фев. 4, 2023

Язык: Английский

---

Fuzzy Machine Learning: A Comprehensive Framework and Systematic Review

IEEE Transactions on Fuzzy Systems, Год журнала: 2024, Номер 32(7), С. 3861 - 3878

Опубликована: Июль 1, 2024

Machine learning draws its power from various disciplines, including computer science, cognitive and statistics. Although machine has achieved great advancements in both theory practice, methods have some limitations when dealing with complex situations highly uncertain environments. Insufficient data, imprecise observations, ambiguous information/relationships can all confound traditional systems. To address these problems, researchers integrate leaning different aspects, fuzzy techniques sets, systems, logic, measures, relations, so on. This paper presents a systematic review of learning, theory, approach to application, the overall objective providing an overview recent achievements field learning. this end, concepts frameworks discussed are divided into five categories: (a) classical learning; (b) transfer (c) data stream (d) reinforcement (e) recommender The literature presented should provide solid understanding current progress research applications.

Язык: Английский

---

A framework based on multivariate distribution-based virtual sample generation and DNN for predicting water quality with small data

Journal of Cleaner Production, Год журнала: 2022, Номер 368, С. 133227 - 133227

Опубликована: Июль 21, 2022

Язык: Английский

---

Artificial ecosystem optimization with Deep Learning Enabled Water Quality Prediction and Classification model

Chemosphere, Год журнала: 2022, Номер 309, С. 136615 - 136615

Опубликована: Сен. 29, 2022

Язык: Английский

---

A novel interval decomposition correlation particle swarm optimization-extreme learning machine model for short-term and long-term water quality prediction

Journal of Hydrology, Год журнала: 2023, Номер 625, С. 130034 - 130034

Опубликована: Авг. 11, 2023

Язык: Английский

---

A unified deep learning framework for water quality prediction based on time-frequency feature extraction and data feature enhancement

Journal of Environmental Management, Год журнала: 2023, Номер 351, С. 119894 - 119894

Опубликована: Дек. 27, 2023

Язык: Английский

---

Deep learning in water protection of resources, environment, and ecology: achievement and challenges

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(10), С. 14503 - 14536

Опубликована: Фев. 2, 2024

Язык: Английский

---