Suchergebnisse - optimized negative selection algorithm

Intelligent System for Twitter Spam Detection Using Optimized Negative Selection Algorithm and Genetic Algorithm von Saranya, S., Devi, S.

Volltext

Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System von Balogun, Monsurat Omolara, Odeniyi, Latifat Adeola, Omidiora, Elijah Olusola, Olabiyisi, Stephen Olatunde, Falohun, Adeleye Samuel

“… Classification is a crucial stage in identification systems, most specifically in biometric identification systems. A weak and inaccurate classification system …”
Volltext

Intrusion Detection systems using Real-Valued Negative Selection Algorithm with Optimized Detectors von Selahshoor, Fatemeh, Jazayeriy, Hamid, Omranpour, Hesam

“… Immunity-base intrusion detection is a well-known approach to develop IDS in WSN. The Negative Selection Algorithm (NSA …”
Volltext

Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals von Rashid, Nasir, Iqbal, Javaid, Mahmood, Fahad, Abid, Anam, Khan, Umar S., Tiwana, Mohsin I.

“… Genetic algorithm (GA) optimized detectors (artificial lymphocytes) are trained using negative selection algorithm (NSA …”
Volltext

Multidomain Features-Based GA Optimized Artificial Immune System for Bearing Fault Detection von Abid, Anam, Khan, Muhammad Tahir, Khan, Muhammad Salman

“… ) framework for fault detection in real systems. Different from native real-valued negative selection algorithm (RNSA …”
Volltext

A new approach to optimized negative selection von Schmidt, Brian, Al-Fuqaha, Ala

“… Details are given about the optimization scheme used and the optimized negative selection algorithm is tested on the UCI Breast …”
Volltext

Diabetes-compound Relationship Identification based on Complex-valued Flexible Neural Tree and Negative Sample Selection Algorithm von Sun, Xiaochao, Yang, Bin

“… ) model and negative sample selection algorithm is presented. In our method, diabetes-related targets were obtained by literature search …”
Weitere Angaben

Optimized raw data selection for artifact reduction of breathing controlled four-dimensional sequence scanning von Szkitsak, Juliane, Karius, Andre, Fernolendt, Susanne, Schubert, Philipp, Speer, Stefan, Fietkau, Rainer, Bert, Christoph, Hofmann, Christian

“… •Optimized raw data selection can improve image quality and anatomical correctness without additional dose exposure by replacing missing or incorrect inspiration data with respective expiration data.•Approximately 2–5 …”
Volltext

A novel immuno-oncology algorithm measuring tumor microenvironment to predict response to immunotherapies von Nielsen, Tyler J., Ring, Brian Z., Seitz, Robert S., Hout, David R., Schweitzer, Brock L.

“… We developed an algorithm optimized for genes expressed in the mesenchymal and immunomodulatory subtypes of a 101-gene triple negative breast cancer model …”
Volltext

Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection von Szekér, Szabolcs, Vathy-Fogarassy, Ágnes

“… In this article, a new simulated annealing-based control group selection method is proposed, which solves the problem of selecting individuals in the control group as a distance optimization task …”
Volltext

Fuzzy optimized V-detector algorithm on Apache Spark for class imbalance issue of intrusion detection in big data von Kourid, Ahlam, Chikhi, Salim, Recupero, Diego Reforgiato

“… Big data come with new challenges for network intrusion detection as it provides large-scale data with a variety of sophisticated attacks (e.g., malware, …”
Volltext

Optimized heart disease prediction model using a meta-heuristic feature selection with improved binary salp swarm algorithm and stacking classifier von Sowmiya, M., Banu Rekha, B., Malar, E.

“… It employs an improved Binary Salp Swarm Algorithm (BSSA) by incorporating a wolf optimizer and opposition-based learning for optimal feature selection …”
Volltext

Improvement of the Blast Furnace Viscosity Prediction Model Based on Discrete Points Data von Guo, Hongwei, Zhu, Mengyi, Li, Xinyu, Guo, Jian, Du, Shen, Zhang, Jianliang

“… The updated model has optimized the selection strategy of distance algorithm and negative weights at the reference points …”
Volltext

A Network Intrusion Detection Model Based on GA-Improved NSA von Li, Long

“… To improve and optimize this technology, a network intrusion detection model based on genetic algorithm and improved negative selection algorithm is designed …”
Volltext

Gradient Boost Enhanced Artificial Immune System Algorithm for Adaptive DDoS Attack Detection in IoT von Abualia, Sayed, Wisniewska, Anna, Ghose, Nirnimesh

“… ) solutions for anomaly detection. In this paper, we address the challenges of DDoS detection in IoT by proposing a Gradient boost regression and Adam-optimized Negative Selection Algorithm (GANSA …”
Volltext

Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm von Prabu, M., Chelliah, Balika J.

“… Mango leaf diseases have a negative impact on mango quality and yield. It is difficult to make an accurate diagnosis of mango leaf disease diagnosis with the naked eye …”
Volltext

A method to increase the number of positive samples for machine learning-based urban waterlogging susceptibility assessments von Tang, Xianzhe, Li, Jiufeng, Liu, Wei, Yu, Huafei, Wang, Fangfang

“… ), which leads to the selection of a limited number of negative samples, further affecting the trained classifiers’ performance …”
Volltext

Optimized URL Feature Selection Based on Genetic-Algorithm-Embedded Deep Learning for Phishing Website Detection von Bu, Seok-Jun, Kim, Hae-Jung

“… An additional optimization process that can minimize the false negatives by selecting the core features of phishing URLs is a promising avenue of improvement …”
Volltext

Optimized Backstepping Tracking Control Using Reinforcement Learning for a Class of Stochastic Nonlinear Strict-Feedback Systems von Wen, Guoxing, Xu, Liguang, Li, Bin

“… In this article, an optimized backstepping (OB) control scheme is proposed for a class of stochastic nonlinear strict-feedback systems with unknown dynamics by using reinforcement learning (RL …”
Volltext

Optimized Backstepping Consensus Control Using Reinforcement Learning for a Class of Nonlinear Strict-Feedback-Dynamic Multi-Agent Systems von Wen, Guoxing, Chen, C. L. Philip

“… In this article, an optimized leader-following consensus control scheme is proposed for the nonlinear strict-feedback-dynamic multi-agent system by learning from the controlling idea of optimized …”
Volltext