Empirical analysis of data streaming and batch learning models for network intrusion detection
Network intrusion, such as denial of service, probing attacks, and phishing, comprises some
of the complex threats that have put the online community at risk. The increase in the …
of the complex threats that have put the online community at risk. The increase in the …
Effect of polynomial, radial basis, and Pearson VII function kernels in support vector machine algorithm for classification of crayfish
Freshwater crayfish are one of the most important aquatic organisms that play a pivotal role
in the aquatic food chain as well as serving as bioindicators for the aquatic ecosystem health …
in the aquatic food chain as well as serving as bioindicators for the aquatic ecosystem health …
[HTML][HTML] From Data to Insight: Machine Learning Approaches for Fish Age Prediction in European Hake
D Klaoudatos, M Vlachou, A Theocharis - Journal of Marine Science and …, 2024 - mdpi.com
The European hake (Merluccius merluccius) is a highly sought after, overfished commercial
species with a high ecological value. Otolith morphometric characteristics were employed …
species with a high ecological value. Otolith morphometric characteristics were employed …
[HTML][HTML] Smart aquaponics: An innovative machine learning framework for fish farming optimization
A Khandakar, IM Elzein, M Nahiduzzaman… - Computers and …, 2024 - Elsevier
This study presents an innovative approach to aquaponics by integrating artificial
intelligence (AI). The system addresses sustainability challenges by utilizing a novel …
intelligence (AI). The system addresses sustainability challenges by utilizing a novel …
[HTML][HTML] A novel automated approach for fish biomass estimation in turbid environments through deep learning, object detection, and regression
Estimating fish biomass is crucial in the fisheries sector, where traditional methods often
harm fish through manual sampling and anesthetics. A non-invasive approach is introduced …
harm fish through manual sampling and anesthetics. A non-invasive approach is introduced …
Enhancing machine learning-based age estimation for Pacific bluefin tuna: An approach with data imputation and image augmentation strategies
This study explores the application of convolutional neural networks (CNN) for age
estimation in Pacific Bluefin Tuna (Thunnus orientalis) using otolith images. The objective is …
estimation in Pacific Bluefin Tuna (Thunnus orientalis) using otolith images. The objective is …
[PDF][PDF] Automatic Method to Transform Routine Otolith Images for a Standardized Otolith Database Using R
N Andrialovanirina, A Hache, K Mahé, S Couette… - Cybium, 2023 - researchgate.net
Fisheries management is generally based on age structure models. Thus, fish ageing data
are collected by experts who analyze and interpret calcified structures (scales, vertebrae, fin …
are collected by experts who analyze and interpret calcified structures (scales, vertebrae, fin …
北太平洋远东拟沙丁鱼年龄鉴定方法的构建.
杨超， 韩海斌， 韦波， 张衡， 商宸， 苏冰… - … & Technology (1008 …, 2023 - search.ebscohost.com
为使鱼类年龄鉴定工作更加准确高效, 基于2020—2021 年的远东拟沙丁鱼(Sardinops sagax)
948 尾样本测量的叉长, 体质量与耳石质量等生物学数据, 结合传统耳石年龄轮纹观察法构建 …
948 尾样本测量的叉长, 体质量与耳石质量等生物学数据, 结合传统耳石年龄轮纹观察法构建 …
An effective feature learning approach using genetic programming for crab age classification
Y Jin, L Meng, T Shi - Fisheries Research, 2025 - Elsevier
Reliable age estimation plays an important role in managing populations of marine
organisms. The extraction and analysis of eyestalks and gastric mill ossicles for determining …
organisms. The extraction and analysis of eyestalks and gastric mill ossicles for determining …
[PDF][PDF] Growth parameters with traditional and artificial neural networks methods of big-scale sand smelt (Atherina boyeri Risso, 1810)
Bu çalışmada İznik Gölü'nde yakalanan gümüş balığının (Atherina boyeri Risso, 1810)
büyüme parametreleri geleneksel (boy ağırlık ilişkileri (LWR), von Bertalanffy (VB) ve …
büyüme parametreleri geleneksel (boy ağırlık ilişkileri (LWR), von Bertalanffy (VB) ve …