[HTML][HTML] Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU

PG Arepalli, KJ Naik - Ecological Informatics, 2024 - Elsevier
Water contamination presents a significant challenge in aquaculture, impacting the
sustainability of ecosystems and the health of aquatic organisms. Precisely assessing water …

Deep learning applications in the Internet of Things: a review, tools, and future directions

P Raoufi, A Hemmati, AM Rahmani - Evolutionary Intelligence, 2024 - Springer
The emergence of the Internet of Things (IoT) has enabled the proliferation of interconnected
devices and sensors, generating vast amounts of often complex and unstructured data …

An IoT‐based water contamination analysis for aquaculture using lightweight multi‐headed GRU model

PG Arepalli, KJ Naik - Environmental Monitoring and Assessment, 2023 - Springer
Maintaining the quality of water is essential for the health and productivity of aquatic
organisms, including fish in aquaculture ponds. However, water contamination can severely …

Forecasting ocean hypoxia in salmonid fish farms

V Cerqueira, J Pimentel, J Korus, F Bravo… - Frontiers in …, 2024 - frontiersin.org
Introduction Hypoxia is defined as a critically low-oxygen condition of water, which, if
prolonged, can be harmful to fish and many other aquatic species. In the context of ocean …

Advances in dissolved oxygen prediction and control methods in aquaculture: a review

D Li, J Yang, Y Bai, Z Du, C Wang - at-Automatisierungstechnik, 2024 - degruyter.com
In the aquaculture industry, maintaining stable levels of dissolved oxygen (DO) is crucial for
ensuring the health of aquatic organisms and enhancing farming efficiency. This article …

Genetic insights into hypoxia tolerance in silver sillago (Sillago sihama) through QTL mapping and SNP association analysis

M Ye, L Kong, Z Jian, Z Qiu, X Lin, Y Zhang, Y Huang… - Aquaculture, 2024 - Elsevier
Oxygen is vital for the survival, growth, development, and reproduction of organisms. This
study investigates the genetic basis of hypoxia tolerance in the silver sillago (Sillago …

A multilevel de-noising approach for precision edge-based fragmentation in MRI brain tumor segmentation

SC Prathipati, SK Satpathy - Traitement du Signal, 2023 - search.proquest.com
Brain tumors, the second leading cause of mortality as identified by numerous health
agencies, constitute a significant health challenge. Given the integral role of the brain in …

Enhanced Malware Family Classification via Image-Based Analysis Utilizing a Balance-Augmented VGG16 Model.

N Pachhala, S Jothilakshmi… - Traitement du Signal, 2023 - search.ebscohost.com
The escalating sophistication and automation of malware generation techniques have led to
an unprecedented proliferation of diverse and potent malicious software, thereby posing a …

Water Quality Classification Using Multi-cell RNN in Aquaculture Ponds for Catla Fish

PG Arepalli, JN Khetavath - International Conference on Computer & …, 2023 - Springer
In aquaculture, water quality has a crucial role in fish development and survival. The link
between different water quality sections is not well captured by the water quality prediction …

An IoT Based Water Quality Classification Framework for Aqua-Ponds Through Water and Environmental Variables Using CGTFN Model

PG Arepalli, KJ Naik, J Amgoth - International Journal of Environmental …, 2024 - Springer
Maintaining water quality in aquatic habitats is critical for the health of aquatic species,
particularly fish. This study pioneers an innovative method to water quality classification …