Lightweight convolutional neural networks using nonlinear Lévy chaotic moth flame optimisation for brain tumour classification via efficient hyperparameter tuning by Amin Abdollahi Dehkordi, Mehdi Neshat, Alireza Khosravian, Menasha Thilakaratne, Ali Safaa Sadiq, Seyedali Mirjalili

“…Abstract Deep convolutional neural networks (CNNs) have seen significant growth in medical image classification applications due to their ability to automate feature extraction, leverage hierarchical learning, and deliver high classification accuracy. …”
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YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles by Xinzhe Luo, Xiaogang Zhu

“…The model incorporates an enhanced backbone architecture that integrates the lightweight Shuffle_Block algorithm and the Multi-Scale Dilated Attention (MSDA) mechanism, enabling effective small object feature extraction while significantly reducing parameter size and computational cost without compromising detection accuracy. …”
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Multi-Class Brain Lesion Classification Using Deep Transfer Learning With MobileNetV3 by Ahmed Firas Majeed, Pedram Salehpour, Leili Farzinvash, Saeid Pashazadeh

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Robust hierarchical federated learning with dual-layer filtering mechanism by Chaoyi Yang, Wei Liang, Yuxiang Chen, Jiahong Xiao, Dacheng He, Tianxiong Liu, Jin Wang, Amr Tolba

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Three-dimensional morphometry of the human thoracic aorta using centerline analysis based on least-squares plane fittingCentral MessagePerspective by Hiroshi Nagamine, MD, Kenji Kishita, MD, Yuta Tsukada, MD, Hiroshi Nagano, MD, Mitsuru Asano, MD

“…In addition to the standard assessment indices for curvature κ and torsion τ, we conducted coordinate transformation based on the least-squares plane, divided the centerline into 3 representative features (transverse, anterior-posterior, and longitudinal displacements), and analyzed the overall and local displacement in each direction. …”
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Development and evaluation of a complex of studies to increase the frequency of bending vibrations of modern passenger car bodies by A. N. Skachkov, S. L. Samoshkin, S. D. Korshunov, D. A. Nikiforov, D. A. Romashov

“…The bodies of all cars of this model range have the same overall dimensions and are made of corrosionresistant steels (stainless) with flat corrugated sheathing of the lower (under the window) belt.To assess the influence of the design features of stainless steel bodies on its bending stiffness and the parameters of bending vibrations in the vertical plane, a computational and experimental complex of works was carried out.After analyzing the calculation results and experimental data, proposals were developed and implemented to increase the bending stiffness of the metal body structure with stainless steel skin. …”
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Based on Regular Expression Matching of Evaluation of the Task Performance in WSN: A Queue Theory Approach by Jie Wang, Kai Cui, Kuanjiu Zhou, Yanshuo Yu

“…Experiments show that our approach ensures accurate matching and computational efficiency of more than 70%; it not only effectively detects data packets and access control, but also uses queuing method to determine the parameters of task scheduling in wireless sensor networks. …”
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A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling by Jian Li, Shifa Li, Pengbo He, Huankun Li

“…Encoder-decoder components are implemented to facilitate state recognition and action output by the agents. Reward parameters are computed based on temporal differences at various moments, constructing a multi-objective Markov decision-process training model. …”
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AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

“…Building on this, this research paper aims to explore the utilization of machine learning methods in predicting the drying time of meat-based food products incorporating multiple factors including structure and properties of food, environmental factors, food mass, and physical parameters of food containers. Furthermore, the paper explores correlations, performs feature importance analysis, and addresses the challenges and limitations within this context.…”
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Simultaneous Color Registration and Depth Completion of Point Clouds with Curriculum Learning by Juan Camilo Martinez, Ana María Montes, Cesar Marín, David Álvarez-Martínez

“…By leveraging shared features between the depth and color tasks, the joint model outperforms separate single-task approaches. …”
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Experimental study on the impact of perpendicular and parallel bedding planes on the physical and geomechanical characteristics of carbonate rocks by Ahmed K. Abd El-Aal, Ahmed E. Radwan, Jabir Hussain, Mahrous A. M. Ali

“…The empirical relationships with moderate/high correlation coefficients established here allow significant rock parameters to be computed using regularly measured parameters, allowing rocks to be evaluated considerably more rapidly and effectively.…”
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Improved deep learning method and high-resolution reanalysis model-based intelligent marine navigation by Zeguo Zhang, Zeguo Zhang, Zeguo Zhang, Liang Cao, Liang Cao, Liang Cao, Jianchuan Yin, Jianchuan Yin, Jianchuan Yin

“…Key components include: (1) IPCA preprocessing to reduce dimensionality and noise in 2D wind field data; (2) depthwise-separable convolution (DSC) blocks to minimize parameters and computational costs; (3) multi-head attention (MHA) and residual mechanisms to improve spatial-temporal feature extraction and prediction accuracy. …”
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Numerical-field analysis of differential leakage reactance of stator winding in three-phase induction motors by V. I. Milykh

“…At the same time, a similar approach can be applied to the DLR of the TIM rotor winding, but taking into account its features. References 27, tables 13, figures 7. …”
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An epidemical model with nonlocal spatial infections by Su Yang, Weiqi Chu, Panayotis Kevrekidis

“…Stationary states and their stability analysis offer a perspective on the early spatial growth of the infection. Evolutionary computational dynamics enable visualization of the spatio-temporal progression of infection and recovery, allowing for an appreciation of the effect of varying parameters of the nonlocal kernel, such as, e.g., its width parameter. …”
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Retributive or Restorative?: A Descriptive Research on the Criminal Justice Understandings of Law Enforcements in Istanbul by Gülçin Cebecioğlu

“…The most striking point here is that clear-cut distinctions cannot be seen between retributive and restorative features contrary to what is claimed in foreign researches.…”
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Lie Group Analysis and Similarity Solutions for Mixed Convection Boundary Layers in the Stagnation-Point Flow toward a Stretching Vertical Sheet by Sarkhosh Seddighi Chaharborj, Fudziah Ismail, Yousof Gheisari, Reza Seddighi Chaharborj, Mohd Rizam Abu Bakar, Zanariah Abdul Majid

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Identification of prognostic factors contributing towards mortality in leptospirosis patients: a statistical and score-based model approach by Abhishek S. Rao, Karthik Pai B. H., Adithi K., Rathika Shenoy, Lakshmi Belur Keshav, Karan Malhotra, Sneha Nayak, Ramaprasad Poojary

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Clinical characteristics and prognosis of amyopathic dermatomyositis patients with interstitial lung disease: insights from a retrospective cohort by Yanan Ying, Tingting Wu, Long Wang, Yun Zhang, Yiming Yu, Zaichun Deng, Qunli Ding

“…Patients were stratified into four groups using the Sontheimer criteria and predominant high-resolution computed tomography (HRCT) patterns. Demographic features, clinical presentation, laboratory parameters, duration of ILD, and follow-up data were analysed. …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

“… Peri-implant bone loss is circular and volumetric by its main features, but in the most of researches level of bone reduction is measured via two-dimensional approach from the medial and distal sides of the implant structure. …”
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Degree-Based Graph Invariants of some Chemical Structures for the Treatment of Corona Virus by Shahid Amin, Haidar Ali, M. A. Rehman, Abd Allah A. Mousa, Mulugeta Andualem

“…We also plot our computed results to examine how they were affected by the parameters involved. …”
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