Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127157 - 127157
Опубликована: Март 1, 2025
Язык: Английский
Energy, Год журнала: 2024, Номер 298, С. 131312 - 131312
Опубликована: Апрель 15, 2024
Язык: Английский
Процитировано
7
Processes, Год журнала: 2024, Номер 12(8), С. 1723 - 1723
Опубликована: Авг. 16, 2024
In recent times, industrial robots have gained immense significance and popularity in various industries. They not only enhance labor safety reduce costs but also greatly improve productivity efficiency the production process. However, selecting most suitable robot for a specific process is complex task. There are numerous criteria to consider, often conflicting with each other, making decision-making challenging. order tackle this problem, multi-criteria (MCDM) method employed, which aids ranking decisions based on weights. traditional MCDM methods now considered outdated, researchers concentrating hybrid models that include multiple techniques problems effectively. This study presents an effective model integrates Fuzzy-AHP-TOPSIS evaluate choose best robot. The Fuzzy-AHP utilized establish set of weights evaluation criteria. Subsequently, proposed technique analyzes, prioritizes, chooses option from list factory. experimental results demonstrate by employing integrated fuzzy analytical hierarchy process, taking into account parameter expert judgment, identified worst alternatives factories. outcomes research possess significant implications selection can be applied fields cater requirements.
Язык: Английский
Процитировано
6
Ecological Engineering, Год журнала: 2024, Номер 201, С. 107214 - 107214
Опубликована: Фев. 29, 2024
Язык: Английский
Процитировано
5
Journal of Theory and Practice of Engineering Science, Год журнала: 2024, Номер 4(03), С. 183 - 190
Опубликована: Март 25, 2024
The integration of artificial intelligence (AI) with gene editing technologies like CRISPR-Cas9 holds immense promise for advancing biomedical research and personalized medicine. This article highlights the crucial role AI in predicting minimizing off-target effects, thereby enhancing precision efficiency editing. Researchers have developed algorithms BE-DICT to accurately predict base outcomes, showcasing potential AI-driven strategies optimizing processes. By combining bioengineering, this interdisciplinary approach aims automate refine DNA modifications, paving way innovative applications therapy biofabrication. Ultimately, endeavors revolutionize life sciences field, leading significant breakthroughs healthcare biotechnology.
Язык: Английский
Процитировано
5
Stochastic Environmental Research and Risk Assessment, Год журнала: 2024, Номер unknown
Опубликована: Апрель 29, 2024
Язык: Английский
Процитировано
5
Computers in Biology and Medicine, Год журнала: 2024, Номер 186, С. 109606 - 109606
Опубликована: Дек. 27, 2024
Язык: Английский
Процитировано
5
International Journal of Computer Science and Information Technology, Год журнала: 2024, Номер 2(1), С. 359 - 367
Опубликована: Март 24, 2024
With the development of network technology, APT(advanced persistentthreat) attacks are increasing, and research on security enterprise assets requires effective detection digital in space management through screening combing, which is key to real-time monitoring safe operation system. However, accompanying malware also poses a threat user's property privacy, so an method detecting Android necessary. In this direction, although feature processing capability traditional machine learning has been improved, there problems that extraction relies expert experience accuracy low. Therefore, paper combines deep reinforcement technology with operating system detect defend advance, as achieve security.
Язык: Английский
Процитировано
4
Heliyon, Год журнала: 2024, Номер 10(7), С. e29182 - e29182
Опубликована: Апрель 1, 2024
This research suggests two novel metaheuristic algorithms to enhance student performance: Harris Hawk's Optimizer (HHO) and the Earthworm Optimization Algorithm (EWA). In this sense, a series of adaptive neuro-fuzzy inference system (ANFIS) proposed models were trained using these methods. The selection best-fit model depends on finding an excellent connection between inputs output(s) layers in training testing datasets (e.g., combination expert knowledge, experimentation, validation techniques). study's primary result is division participants into performance-based groups (failed non-failed). experimental data used build measured fourteen process variables: relocation, gender, age at enrollment, debtor, nationality, educational special needs, current tuition fees, scholarship holder, unemployment, inflation, GDP, application order, day/evening attendance, admission grade. During evaluation, scoring was created addition mean absolute error (MAE), square (MSE), area under curve (AUC) assess efficacy utilized approaches. Further revealed that HHO-ANFIS superior EWA-ANFIS. With AUC = 0.8004 0.7886, MSE 0.62689 0.65598, MAE 0.64105 0.65746, failure pupils assessed with most significant degree accuracy. MSE, MAE, precision indicators showed EWA-ANFIS less accurate, having amounts 0.71543 0.71776, 0.70819 0.71518, 0.7565 0.758. It found optimization have high ability increase accuracy performance conventional ANFIS predicting students' performance, which can cause changes management improve quality academic programs.
Язык: Английский
Процитировано
4
International Journal of Fuzzy Systems, Год журнала: 2025, Номер unknown
Опубликована: Янв. 7, 2025
Язык: Английский
Процитировано
0
Complex & Intelligent Systems, Год журнала: 2025, Номер 11(2)
Опубликована: Янв. 29, 2025
Язык: Английский
Процитировано
0