AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

“…ML based IDS still faces challenges, particularly due to high-dimensional data complexity, which affects the performance. To address this, the study proposed AccFIT (Accuracy-based Feature Inclusion Technique) for IDS, combining two-stage Feature Selection Algorithms (FSA). …”
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Efficient Data Collection Method in Sensor Networks by Keyan Cao, Haoli Liu, Yefan Liu, Gongjie Meng, Si Ji, Gui Li

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EFFICIENCY OF TRANSPORTATION AND INDUSTRIAL CLUSTERING by A. Kurbatova, P. Ovchinnikov

“…The article considers approaches to evaluation of clustering of the economy and its impact on the efficiency of transportation (industrial) complex. It formulates an approach to the evaluation of the effectiveness on the basis of selected critical elements of the cluster. …”
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SOURCES OF FINANCING INDUSTRIAL COMPLEX ENTERPRISES by Anzhela Zakhitovna Namitulina, Mikhail Nikolaevich Prokofiev, Nikolay Viktorovich Vorovsky

“…Subject article is relevant because It is devoted to description of sources of financing of defense enterprises and peculiarities of selection of sources of financing enterprises of the military-industrial complex. …”
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Modern aspects of complex treatment of hysteromyoma by L. V. Adamyan, M. M. Sonova, K. N. Arslanyan, O. N. Loginova

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Leveraging dendritic complexity for neuromorphic computing by Suma G Cardwell, Mark Plagge, Luke Parker, Claire E Plunkett, David Munkvold, Paloma T Gonzalez-Bellido, Scott Koziol, Conrad James, Frances S Chance

“…However, for brain-like cognition and efficiency in next-generation computing hardware, we need increased complexity in function, as well as improved connection density for scalability. …”
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Data analysis in complex biomolecular systems by M. M. Yatskou, V. V. Apanasovich

“…The effectiveness of the algorithms of the approach was verified by analyzing of simulated and experimental data representing the systems of molecules and proteins. The use of complex analysis increases the efficiency of the study of biophysical systems during the analysis of big data.…”
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Multicriteria-Based Crowd Selection Using Ant Colony Optimization by Guan Wang, Farhad Ali, Jonghoon Yang, Shah Nazir, Ting Yang, Abdullah Khan, Muhammad Imtiaz

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Designer ligands: The search for metal ion selectivity by Perry Kaye

“…Attention has also been given to the development of efficient, metal-selective molecular imprinted polymers.…”
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Targeted Influential Nodes Selection in Location-Aware Social Networks by Susu Yang, Hui Li, Zhongyuan Jiang

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From Synthesis to Application: Advances in Macrocyclic Complexes by Nabaa Abbas, Ammar Jihad Alabdali, Mohammed Hussein Al-Mashhadani, Zamzam Alhuwaymil, Mohammed Saeed Alyami, Sohad Abdulkhaleq Alshareef

“…The multifaceted applications of these complexes span various domains in pharmaceuticals as they enhance drug solubility and bioavailability; in catalysis, they facilitate oxidation reaction and water splitting processes; in sensing, calixarenes serve as selective ion and molecule detectors; and in biomedicine, certain macrocyclic compounds exhibit potential in targeting cancer stem cells. …”
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Transcatheter aortic valve implantation complexity score by Christopher Malkin, Daniel J Blackman, Noman Ali, Amr Abdelrahman, Michael Cunnington, Paul Bamford, Sacchin Arockiam, Suleman Aktaa, Rowan Hall

“…We have developed a novel complexity scoring system (TAVI ComplEXity; TEX score) which can aid in planning lists with appropriate case selection. …”
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Analysis of electromagnetic compatibility in local complexes of radioequipment by V. I. Mordachev, E. V. Sinkevich, D. A. Tsyanenka, Y. Y. Arlou

“…The technique for step-by-step computer-based analysis and diagnostics of electromagnetic compatibility (EMC) of radioequipment of complex on-board and local ground systems is improved. …”
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COMPLEX FOR MONITORING OF SEWAGE OPTICAL DENSITY CHANGES by V. A. Alekseev, V. P. Usoltcev, S. I. Yuran, D. N. Shulmin

“…Experimentally the efficiency of a complex in case of measurement of changes of optical density of the analysable environments is shown. …”
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An Evolutionary Algorithm: An Enhancement of Binary Tournament Selection for Fish Feed Formulation by Cai-Juan Soong, Rosshairy Abd Rahman, Razamin Ramli, Mohammed Suhaimee Abd Manaf, Chek-Choon Ting

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Adaptive Equalizer Using Selective Partial Update Algorithm and Selective Regressor Affine Projection Algorithm over Shallow Water Acoustic Channels by Masoumeh Soflaei, Paeiz Azmi

“…In this paper, we apply the family of selective regressor affine projection algorithms (SR-APA) and the family of selective partial update APA (SPU-APA) which have low computational complexity that is one of the important factors that influences adaptive equalizer performance. …”
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Novel roles for selected genes in meiotic DNA processing. by Philip W Jordan, Franz Klein, David R F Leach

“…Based on our selection procedure, 81 deletion mutants were constructed and tested for phenotypic abnormalities. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…However, the advent of larger IDS datasets has negatively impacted the performance and computational complexity of AI-based IDSs. Many researchers used data preprocessing techniques such as feature selection and normalization to overcome such issues. …”
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Some innovations in pig farming and their zootechnical assessment by V. I. Khalak, B. V. Gutyj, O. M. Bordun

“…The purpose of this work was to investigate the life expectancy, duration of breeding use, and reproductive qualities of sows of the large white breed of French selection, based on the obtained data to develop a new way of evaluating sows according to their operational value, as well as to calculate the economic efficiency of their use in the conditions of the industrial complex. …”
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Improved Intelligent Condition Monitoring with Diagnostic Indicator Selection by Urszula Jachymczyk, Paweł Knap, Krzysztof Lalik

“…The proposed method for reducing condition indicators successfully decreased their number by approximately 3.27 times, simultaneously significantly reducing computational time of prediction, reaching up to 50% reduction for complex models. In doing so, we lowered computational demands and improved classification efficiency without compromising accuracy for ML models. …”
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