The Measurement of different mechanical components using Machine Vision and digital image processing by Ram Prakash T, M.Rishidev, N. Vignesh, S.A Vishnu Bahavath

“…A plethora of sensors and a myriad of lighting has been used to enhance the best possible way to acquire the image.  …”
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Dendritic Cells and Their Multiple Roles during Malaria Infection by Kelly N. S. Amorim, Daniele C. G. Chagas, Fernando B. Sulczewski, Silvia B. Boscardin

“…In this way, DCs sense the presence of a myriad of pathogens, including Plasmodium spp., the causative agent of malaria. …”
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Evaluation of the low-cost depth cameras for non-destructive testing by Noura Y. Alghanim, Tarig Ali, Ahmed Elaksher, Mohammad Alhamaydeh

“…One beam was used as a reference without fibers, while 3D steel fiber reinforcement, 5D steel fibers reinforcement, and a hybrid fibers mix of 5D steel fiber and synthetic were used for the other three beams. …”
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Interpretable real-time monitoring of short-term rockbursts in underground spaces based on microseismic activities by Mohammad Hossein Kadkhodaei, Ebrahim Ghasemi

“…Abstract In this study, two novel hybrid intelligent models were developed to evaluate the short-term rockburst using the random forest (RF) method and two meta-heuristic algorithms, whale optimization algorithm (WOA) and coati optimization algorithm (COA), for hyperparameter tuning. …”
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Symbolic regression for strength prediction of eccentrically loaded concrete-filled steel tubular columns by Khaled Megahed

“…This study proposes a hybrid model derived from the design code standards, with performance enhanced by the symbolic regression technique. …”
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Research on multi-stream variable resolution compression and transmission technology based on scene elements in Internet of things environment by Shangwu XIAO, Ruimin HU, Yu CHEN, Jing XIAO

“…In response to the demand of wide coverage and massive access,low bandwidth and low power consumption is an important research direction to solve this problem.In smart cities,security monitoring and other application areas,video surveillance based on the region of interest of the face are particularly important.It is a feasible direction to realize the extraction of scene elements,transmission of key information with very low bandwidth and the application of video technology in the Internet of things environment through the strategy of multi-stream differential coding.By designing a face-oriented variable resolution hybrid coding algorithm,the bandwidth could be saved and the power consumption could be reduced greatly,the access requirements of narrowband Internet of things could be met.Through the face detection algorithm based on the deep learning Caffe framework,the face region of interest was acquired in key frames,and the face image was encoded with high resolution.By designing the code rate adaptive allocation algorithm,the bandwidth was utilized rationally,and the encoded face information and the full background content were distinguished.The encoded mixed code stream information was transmitted through the narrowband; the key frame-based face enhancement decoding algorithm was adopted at the receiving end to obtain a partial HD high-definition monitoring picture.Experiments show that when the video encoded by the proposed method is transmitted in a narrow band whose transmission rate is 120~160 kbit/s,the face image can maintain the same definition as the original HD monitoring acquisition end,which has strong practicability.…”
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Advancements in Smart Nondestructive Evaluation of Industrial Machines: A Comprehensive Review of Computer Vision and AI Techniques for Infrastructure Maintenance by Samira Mohammadi, Sasan Sattarpanah Karganroudi, Vahid Rahmanian

“…This review explores the current state of computer vision in NDE, discussing key techniques, applications across various infrastructure types, and the integration of deep learning models such as convolutional neural networks (CNNs), vision transformers (ViTs), and hybrid models. The review also highlights challenges, including data availability and scalability. …”
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The Passing Fads and Emergent Trends of Project Culture in Construction Industry by Qinghua He, Jin Li, Jingyuan Wan, Zhenyu Zhang, Zhen Chen

“…This study proposes a framework consisting of a hybrid function/nonfunction paradigms and diagnoses project culture from explicit and implicit aspects. …”
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Dynamic characteristic analysis and load design of large floating structures based on experimental design by Guofeng Zhao, Shifan Zhu

“…In order to make qualitative and quantitative analysis of the regularity, the hydrodynamic response of large-scale ocean engineering structures under different wave loads is experimentally designed and studied based on the experimental design method and the moving least squares–Kriging hybrid fitting method. The boundary element method based on potential flow theory is applied to calculate the frequency domain response of the structure, and the time domain response of the structure is calculated by the Fourier transform and convolution method. …”
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Advantages of Combining Factorization Machine with Elman Neural Network for Volatility Forecasting of Stock Market by Fang Wang, Sai Tang, Menggang Li

“…The Elman recurrent network is renowned for its capability of dealing with dynamic information, which has made it a successful application to predicting. We developed a hybrid approach which combined Elman recurrent network with factorization machine (FM) technique, i.e., the FM-Elman neural network, to predict stock market volatility. …”
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Les libéraux du Trienio constitucional (1820-1823) en quête de leurs origines : des fictions oniriques au service d’une mythologie politique by Maud Le Guellec

“…Primera insurrección del pueblo de Airebi (in Diario constitucional de Palma, 11 and 12 May 1820) and Profecía de lo que se verá el día 9 de julio de 1820 (Madrid, 1820).…”
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Unsteady Aerodynamic Modeling Based on POD-ARX by Xiaopeng Wang, Chen’an Zhang, Wen Liu, Famin Wang, Zhengyin Ye

“…To solve this problem, a hybrid reduced-order model named POD-ARX is constructed in this paper. …”
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Conspiracionismo fuerte, conspiracionismo débil by Javier López Alós, Andrés Bernstein Darder, Jon Ureña Salcedo

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Human-Inspired Gait and Jumping Motion Generation for Bipedal Robots Using Model Predictive Control by Zhen Xu, Jianan Xie, Kenji Hashimoto

“…Currently, methods based on hybrid zero dynamics and reinforcement learning have been employed to enhance the walking and hopping capabilities of humanoid robots; however, model predictive control (MPC) presents two significant advantages: it can adapt to more complex task requirements and environmental conditions, and it allows for various walking and hopping patterns without extensive training and redesign. …”
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Sound recurrence analysis for acoustic scene classification by Jakob Abeßer, Zhiwei Liang, Bernhard Seeber

“…In the ASC experiments, hybrid network architectures, which combine spectrogram features and features from sound recurrence analysis, show increased accuracy for those classes with prominent sound repetition patterns. …”
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Research on the operational properties of the soft gripper pads by Marcin Białek, Dominik Rybarczyk

“…Robotiq 2F-140) to form a hybrid soft-rigid structure. In addition, methods are presented for studying the use of soft structures in a jaw gripper. …”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…Nevertheless, estimating parameters for these hybrid models remains difficult with sparse data and limited sampling durations that are common in biological applications. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…Our results show notable improvements, with the ECA hybrid attention mechanism achieving 2–4 times faster inference times while maintaining high accuracy. …”
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Composición y evolución de las escuadras genovesas de galeras al servicio de la Monarquía Hispánica (1528-1650) by Benoît Maréchaux

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Smart City Traffic Flow and Signal Optimization Using STGCN-LSTM and PPO Algorithms by Tuxiang Lin, Rongliang Lin

“…Extensive experiments and ablation studies highlight the complementary strengths of STGCN and LSTM, with the hybrid model outperforming standalone variants. The PPO algorithm dynamically adjusts signal timings, reducing vehicle waiting times by 30% and increasing traffic throughput by 15%. …”
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