A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…Addressing the issue of that the difficulty of incipient weak signals feature extraction influences the rolling bearing diagnosis accuracy, an efficient bearing fault diagnostic technique, a proposition is forwarded for hybrid artificial intelligence models, which integrates Improved Harris Hawks Optimization (IHHO) into the optimization of Deep Belief Networks and Extreme Learning Machines (DBN-ELM). The process employs Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) to filter out noise from the vibration signals emitted by bearings; secondly, considering the issue with the conventional Harris Hawks Optimization (HHO) algorithm which tends to prematurely converge to local optima, the differential evolution mutation operator is introduced and the escape energy factor is improved from linear to nonlinear in IHHO; then, a double-layer network model based on DBN-ELM is proposed, to avoid the number of hidden layer nodes of DBN from human experience interference, and IHHO is used to optimize DBN structure, which is denoted as IHHO-DBN-ELM method; with the optimal structure is obtained by using a combined IHHO optimized DBN and ELM; in conclusion, the proposed IHHO-DBN-ELM approach is applied to the bearing fault detection using the Western Reserve University's bearing fault dataset. …”
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Reliability Enhancement Methods for Relaxation Oscillator with Delay Time Cancellation by Kunpeng Xu, Hongguang Dai, Zhanxia Wu, Zhibo Huang, Guoqiang Zhang, Xiaopeng Yu, Wechang Wang, Gang Xuan

“…Simulation results for an 8 MHz relaxation oscillator in a 40 nm CMOS process show that the proposed DTC technique and enhancements improve frequency variation due to power supply fluctuations to ±0.05% and reduce temperature-induced frequency variation to ±0.4%.…”
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Confidentiality, Loyalty, and Responsibility: The Ethical Triad in Information Systems Management in the Field of National Security by Florentina-Loredana DRAGOMIR

“…Intelligent information systems not only optimize threat detection and response processes but also actively contribute to the professionalization of strategic decisions by generating predictive assessments, automatic traceability, and alignment with legal regulations and ethical standards. …”
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Exploring multi-step electroweak phase transitions in the 2HDM+ $$\varvec{a}$$ a by Zong-guo Si, Hong-xin Wang, Lei Wang, Yang Zhang

“…In the remaining three cases, the pseudoscalar fields can obtain vacuum expectation values at different phases of the multi-step phase transition process, leading to the spontaneous breaking of the CP symmetry. …”
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A population‐based temporal logic gate for timing and recording chemical events by Victoria Hsiao, Yutaka Hori, Paul WK Rothemund, Richard M Murray

“…Abstract Engineered bacterial sensors have potential applications in human health monitoring, environmental chemical detection, and materials biosynthesis. While such bacterial devices have long been engineered to differentiate between combinations of inputs, their potential to process signal timing and duration has been overlooked. …”
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A Fault-Tolerant Multiple Sensor Fusion Approach Applied to UAV Attitude Estimation by Yu Gu, Jason N. Gross, Matthew B. Rhudy, Kyle Lassak

“…A two-step off-line and on-line calibration procedure refines sensor error models and improves the measurement performance. A Fault Detection and Identification (FDI) scheme crosschecks sensor measurements and simultaneously monitors sensor biases. …”
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Evaluating Grayware Characteristics and Risks by Zhongqiang Chen, Zhanyan Liang, Yuan Zhang, Zhongrong Chen

“…The framework also shows that grayware evades detection by attacking victims' security applications and resists being removed by enhancing its clotting capability with infected hosts. …”
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International Trends in the Field of Forensic Science Standardization, Forensic Science Standardization in Europe, Experience of Bosnia and Herzegovina by L. Trišić

“…Thus an important obligation of Bosnia and Herzegovina on its way to European integration will be fulfilled, because once a forensic laboratory receives an affirmation for its results, it becomes a benchmark for forensic analyses and crime detection.…”
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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…However, this is a challenging process. Grasshopper detection methods are being developed using traditional forecasting methods by expert entomologists. …”
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MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals by Mengguan Pan, Baixiao Chen

“…Based on the initial 1D IAA algorithm, we propose a modified 2D IAA which particularly fits the deramping processing based range-azimuth model. The proposed processing framework for MIMO sparse frequency FMCW HFSWR with the modified 2D IAA applied is shown to have a high resolution and be able to provide an accurate and clear range-azimuth image which benefits the following detection process.…”
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Active Reinforcement Learning for the Semantic Segmentation of Urban Images by Mahya Jodeiri Rad, Costas Armenakis

“…The agent is represented by a deep Q-Network, where a Markov Decision Process (MDP) is used to formulate the Active Learning problem. …”
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Synergistic use of handcrafted and deep learning features for tomato leaf disease classification by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…The system’s process encompasses preprocessing, feature extraction, feature fusion, and classification. …”
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<i>Candida albicans</i> Induces Oral Microbial Dysbiosis and Promotes Oral Diseases by Bina Kashyap, Sridhar Reddy Padala, Gaganjot Kaur, Arja Kullaa

“…<i>C. albicans</i> is an opportunistic microorganism with several virulent factors that influence the inflammatory process and allow it to invade tissues, evade host defense mechanisms, and release toxins, facilitating proliferation and degradation. …”
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Stochastic-based learning for image classification in chest X-ray diagnosis by Xinghui Zeng, Shushu Gong

“…Objectives The current research introduces a stochastic deep learning method with the aim of enhancing lung disease detection, particularly pneumonia, in chest X-ray images. …”
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Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes by Qifeng Lin, Nghia Vuong, Kewei Song, Phuoc Thanh Tran-Ngoc, Greg Angelo Gonzales Nonato, Hirotaka Sato

“…This work demonstrates a scalable strategy for automating the fabrication of insect–computer hybrid robots, enabling efficient and reproducible assembly process while maintaining effective locomotion control.…”
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Clinical pathophysiology of proteinuria by A. Gozhenko, A. Haminich, O. Vityukov

“…The latter in most patients determines the degree of nephron damage, the chronicity of the process in the kidneys, the prognosis of nephrological disease and the term of development of renal failure. …”
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Phase Transformation on Two-Dimensional MoTe₂ Films for Surface-Enhanced Raman Spectroscopy by Caiye Zhao, Junwen Huang

“…Moreover, a prohibited fish drug could be detected by using 1T′-MoTe₂ films as SERS substrates. …”
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Crowd navigation monitoring during emergencies by Oksana Tymoshchuk, Maksym Tishkov, Victor Bondarenko

“…Extracting additional data from these streams could significantly enhance pedestrian behavior modeling and the automation of the monitoring process. A critical parameter in the analysis of pedestrian movement is their speed. …”
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Intelligent vehicle obstacle avoidance strategy application supported by fuzzy control theory by Qianqian Wang, Shaolin He, Zhu Zhao

“…Therefore, this study aims to improve the obstacle avoidance ability of intelligent vehicles through fuzzy control theory.MethodsThe study employs fuzzy control theory to enhance the ability of intelligent vehicles to process fuzzy information, thereby improving conventional obstacle avoidance techniques. …”
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Recent Advances in Federated Learning for Connected Autonomous Vehicles: Addressing Privacy, Performance, and Scalability Challenges by Asad Ali, Huang Jianjun, Ayesha Jabbar

“…Secondly, FL speeds up anomaly and intrusion detection, critical safety and security matters in CAV ecosystems. …”
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