Defect detection based on extreme edge of defective region histogram by Zouhir Wakaf, Hamid A. Jalab

“…Automatic thresholding has been used by many applications in image processing and pattern recognition systems. Specific attention was given during inspection for quality control purposes in various industries like steel processing and textile manufacturing. …”
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THE IMPLICATIONS OF THE EU AI ACT ON CONVERSATIONAL TECHNOLOGIES LIKE CHATGPT by Emilian MATEICIUC

“…It addresses key regulatory concerns including data protection, algorithmic transparency, and accountability, evaluating the Act's role as a potential standard for AI legislation globally. …”
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Prediction of drop size distribution and mean drop size in an L-shaped pulsed packed column using artificial neural network (ANN) model and semi-empirical correlation by Ali Ravandeh, Sajad Khooshechin

“…Abstract This study proposes the use of artificial neural network (ANN) and semi-empirical models for predicting mean drop size and drop size distribution in an L-shaped pulsed packed extraction column under non-mass-transfer conditions, employing toluene-water (T/W) and n-butyl acetate-water (B/W) systems. The ANN model was trained using the Levenberg–Marquardt algorithm and demonstrated excellent predictive performance, achieving R2 values of 0.981 and 0.986 for drop size distribution and mean drop size, respectively. …”
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Measuring technological development and sovereignty by V. V. Glazunova

“…The study employs the theory of technological change and empirical regression analysis and uses statistical data from the Russian economy as its information base. A general algorithm for measuring technological independence is proposed. …”
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The technical milieu and its evolution: Uexküll, Kapp, Cassirer, Simondon by Christopher Loughnane

“…In a world increasingly structured by digital and algorithmic systems, this article argues that technics is a constitutive element of how humans understand and inhabit different environments, whether physical or virtual. …”
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Bioethical management of patients with epilepsy: sex and age-related aspects by E. P. Mikhalovska-Karlova

“…To reduce this controversy, it is necessary to develop a system of continuous ethical education.…”
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Electric Vehicle Cluster and Scheduling Strategy Based on Dynamic Game by LI Shuai, DING Xiying, JIANG Hongfa

“…The upper layer takes the peak shaving demand and peak shaving cost of distribution system operator (DSO) as the optimization objectives, and uses an improved multi-objective particle swarm optimization algorithm to obtain the game strategy set of DSO. …”
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Novel SMA BASED Elmanspiking neural network modelled fuzzy PI controller for speed-torque regulation of PMSM by Lakshmipriya Natarajan, Mamdooh Alwetaishi, Chu Liang Lee, S. D. V. V. S. Bhimeshwar Reddy

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Disturbance Signal Generation Method of AC Impedance Test Based on Boost Circuit by SHEN Zehua, PENG Zaiwu, CHEN Xiongchun, WANG Jian, LIU Shaochun

“…Based on the Randles equivalent circuit of PEMFC and the electrical principle of the fuel cell power system, this paper builds a test bench for simulation test. …”
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Utilizing Enhanced Particle Swarm Optimization for Feature Selection in Gender-Emotion Detection From English Speech Signals by Ammar Amjad, Li-Chia Tai, Hsien-Tsung Chang

“…The gender-specific DGA-EBPSO algorithm incorporates a hybrid mutation strategy to improve feature selection efficiency and considers gender-based variations in emotional expression. …”
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Multi-objective optimization of urban logistics land: a gradient-based method approach with Wuhan city as an example by Hongzan Jiao, Shuaikang Zhang

“…By utilizing the gradient descent algorithm, which effectively handles large-scale datasets, we can navigate the complexities of logistics land planning with precision. …”
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A hybrid machine learning method of support vector regression with particle swarm optimization for predicting IRI in continuously reinforced concrete pavement by Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb

“…Incorporating structural, climatic, and traffic-related variables, 395 observations from 33 CRCP sections were used. The PSO algorithm was employed to optimize SVR hyperparameters, resulting in enhanced model accuracy and stability. …”
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Single-phase Flyback Photovoltaic Micro-inverter Grid-connected Control Strategy with a Lag-time Compensation Technique by MA Chen cheng, YU Feng, WU Xiao xin, MAO Jing feng

“… In terms of the single-phase flyback photovoltaic micro-inverters, the traditional discontinuous current mode algorithm takes the disadvantages of large phase delay between the grid-connected current and voltage, and high harmonics of grid-connected current. …”
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From Code to Life: The AI‐Driven Revolution in Genome Editing by Zhidong Li, Wasi Ullah Khan, Genxiang Bai, Chao Dong, Jungang Wang, Youpeng Zhang, Chong Wang, Hongbin Zhang, Wenyi Wang, Ming Luo, Fei Chen

“…Despite its transformative potential, AI‐driven genome editing raises ethical concerns regarding data bias, algorithmic transparency, and unintended genetic modifications. …”
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Mapping soil drainage classes: Comparing expert knowledge and machine learning strategies by Danilo César de Mello, Nélida E.Q. Silvero, Bradley A. Miller, Nicolas Augusto Rosin, Jorge Tadeu Fim Rosas, Bruno dos Anjos Bartsch, Gustavo Vieira Veloso, Jean Jesus Macedo Novais, Renan Falcioni, Marcos Rafael Nanni, Marcelo Rodrigo Alves, Elpídio Inácio Fernandes-Filho, Uemeson José dos Santos, José Alexandre Melo Demattê

“…This study compared two approaches to mapping soil drainage classes in the state of São Paulo, Brazil, using geographic information systems (GIS). The first approach employed expert knowledge (EK) to develop a simple model based on soil color and texture, while the second used machine learning (ML) with an extensive set of covariates and a decision tree algorithm. …”
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Towards Robust Speech Models: Mitigating Backdoor Attacks via Audio Signal Enhancement and Fine-Pruning Techniques by Heyan Sun, Qi Zhong, Minfeng Qi, Uno Fang, Guoyi Shi, Sanshuai Cui

“…These attacks allow adversaries to manipulate system behavior through hidden triggers while maintaining normal operation on clean inputs. …”
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Content oriented 3D-CNN sequence learning architecture for academic activities recognition using a realistic CAD dataset by Muhammad Wasim, Imran Ahmed, Naveed Abbas, Tanzila Saba, Faten S. Alamri, Alex Elyassih, Amjad Rehman

“…The proposed model is compared with the LSTM model, a state-of-the-art algorithm for time-series and sequence-learning problems, by performing sufficient experimentations. …”
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Breast asymmetry: literature review and a new proposal for clinical classification by Gladstone Eustáquio de Lima Faria, Dov Charles Goldenberg, Ricardo Frota Boggio

“…The correct diagnosis, taking into account the existing classification systems, is imperative for achieving the best results. …”
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Direct Forward-Looking Sonar Odometry: A Two-Stage Odometry for Underwater Robot Localization by Wenhao Xu, Jianmin Yang, Jinghang Mao, Haining Lu, Changyu Lu, Xinran Liu

“…The proposed odometry algorithm is validated by both simulation experiments and field data from sea trials.…”
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Substrate-aware computational design of two-dimensional materials by Arslan Mazitov, Ivan Kruglov, Alexey V. Yanilkin, Aleksey V. Arsenin, Valentyn S. Volkov, Dmitry G. Kvashnin, Artem R. Oganov, Kostya S. Novoselov

“…This study presents a novel method for predicting the atomic structure of 2D materials on substrates by combining an evolutionary algorithm, a lattice-matching technique, an automated machine-learning interatomic potentials training protocol, and the ab initio thermodynamics approach. …”
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