Hardware Module Design and Software Implementation of Multisensor Fire Detection and Notification System Using Fuzzy Logic and Convolutional Neural Networks (CNNs) by Robert A. Sowah, Kwaku Apeadu, Francis Gatsi, Kwame O. Ampadu, Baffour S. Mensah

“…Convolutional Neural Networks are mainstream methods of deep learning due to their ability to perform feature extraction and classification in the same architecture. …”
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Imported Typhoid Fever in Romania Between 2010 and 2024 by Dragos Stefan Lazar, George Sebastian Gherlan, Simin Aysel Florescu, Corneliu Petru Popescu, Maria Nica

“…Background/Objectives: Although a “forgotten” disease in developed countries, typhoid fever remains a significant global health problem, especially in regions with inadequate sanitation and overcrowding. …”
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Detection of Leaf Miner Infestation in Chickpea Plants Using Hyperspectral Imaging in Morocco by Mohamed Arame, Issam Meftah Kadmiri, Francois Bourzeix, Yahya Zennayi, Rachid Boulamtat, Abdelghani Chehbouni

“…This study addresses the problem of early detection of leaf miner infestations in chickpea crops, a significant agricultural challenge. …”
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Fault Diagnosis of Magnetically Controlled On-Column Circuit Breaker Based on Small Sample Condition by He Tian, Chao Liang, Wenpeng Ma, Tianchang Zhang

“…Subsequently, to address the problem of real-world operational data being susceptible to noise, a Stacked Denoising Autoencoder (SDAE) is utilized as the discriminator in the ACGAN framework. …”
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A Lightweight Citrus Ripeness Detection Algorithm Based on Visual Saliency Priors and Improved RT-DETR by Yutong Huang, Xianyao Wang, Xinyao Liu, Liping Cai, Xuefei Feng, Xiaoyan Chen

“…Therefore, LightSal-RTDETR effectively solves the citrus ripeness detection problem in orchard scenes with high complexity, offering an efficient solution for smart agriculture applications.…”
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Acoustic Emission Characteristics of Galling Behavior from Dry Scratch Tests at Slow Sliding Speed by Timothy M. Devenport, Ping Lu, Bernard F. Rolfe, Michael P. Pereira, James M. Griffin

“…This research has explored feature selection using <i>t</i>-tests, linear regression models, and cluster analysis of the data. …”
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Corner Enhancement Module Based on Deformable Convolutional Networks and Parallel Ensemble Processing Methods for Distorted License Plate Recognition in Real Environments by Sehun Kim, Seongsoo Cho, Jangyeop Kim, Kwangchul Son

“…This paper proposes a new approach to solve the license plate recognition problem in such unconstrained environments. To accurately recognize text on distorted license plates, it is crucial to precisely locate the four corners of the plate and correct the distortion. …”
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Improved Target Signal Source Tracking and Extraction Method Based on Outdoor Visible Light Communication Using an Improved Particle Filter Algorithm Based on Cam-Shift Algorithm by Zhipeng Liu, Weipeng Guan, Shangsheng Wen

“…Accordingly, the proposed algorithm can be applied to the outdoor-VLC system with various environmental interferences, and can realize the actual first step of communication in VLC system based on image sensor well, laying a foundation for feature extraction, data transmission and other subsequent steps.…”
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Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention by Jia Wu, Jinzhao Lin, Xiaoming Jiang, Wei Zheng, Lisha Zhong, Yu Pang, Hongying Meng, Zhangyong Li

“…Abstract Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient projection data leads to degraded image quality with increased noise and artifacts. …”
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Anytime Optimal Trajectory Repairing for Autonomous Vehicles by Kailin Tong, Martin Steinberger, Martin Horn, Selim Solmaz, Daniel Watzenig

“…Our paper introduces a groundbreaking approach by formulating an optimal trajectory repairing problem and proposing an innovative and efficient framework for critical timing detection and trajectory repairing. …”
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An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates by Michele Ronchi, Cristian Cafarella, Matteo Gabellini, Alberto Regattieri, Mauro Gamberi

“…Specifically, it simultaneously optimizes the inspection method selection, sampling rate, and detection rate across multi-product systems featuring multiple inspection technologies with varying costs and accuracies. …”
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Neuro-Visual Adaptive Control for Precision in Robot-Assisted Surgery by Claudio Urrea, Yainet Garcia-Garcia, John Kern, Reinier Rodriguez-Guillen

“…These networks address common deep learning challenges, such as the vanishing gradient problem, and facilitate the generation of smooth control signals that minimize wear on the robot’s actuators. …”
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Optimization of Anesthetic Provision During Operations on the Foot by D. S. Yasnev, A. V. Zabusov, S. V. Larionov, P. A. Lyubashevsky, P. S. Zhbannikov

“…The important feature of a heavy trauma of the foot is infringement regional haemocirculation of development of a vascular spasm. …”
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Multi-scale extreme climate disaster prediction model integrated with ConvLSTM: taking rainstorm and flood disaster as an example by Lei He, Yunhao He, Yongqiang Xia, Yuxia Li, Bin Liu, Siqi Zhang, Cunjie Zhang

“…Firstly, four disaster indicators (population disaster index, housing disaster index, agricultural disaster index and economic disaster index) were introduced to reflect different losses, which could form a comprehensive disaster index to quantify the overall loss degree; Second, with raster data and VGGNet, a lightweight regression convolutional neural network model VGG-Light was proposed to solve these problem; Third, focused on impact of precipitation on disaster situations, the ConvLSTM module was used to capture the spatiotemporal characteristics of precipitation data, and then the TSVGG-Light model was presented for feature fusion. …”
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Developing New Software for Functional Food Production by Elena Yu. Titorenko, Natalia B. Trofimova, Evgenia O. Ermolaeva, Ivan E. Trofimov, Leonid I. Breskin, Igor V. Surkov, Natalia V. Astakhova

“…Study objects and methods. The research featured food production company LLC Yug (Biysk, Russia) that specializes in functional products and various ready-made software automation solutions. …”
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Impact of the Guard Rings on Self-Induced Signal and Leakage Current in Trench-Isolated Low Gain Avalanche Diodes by Gordana Lastovicka-Medin, Gregor Kramberger, Jiri Kroll, Mateusz Rebarz

“…To our best knowledge, the latter problem has not been investigated yet.…”
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Anisotropic metric-based mesh adaptation for ice flow modelling in Firedrake by D. Dundovic, J. G. Wallwork, S. C. Kramer, F. Gillet-Chaulet, R. Hock, R. Hock, M. D. Piggott

“…In this paper we propose feature-based anisotropic mesh adaptation methods and demonstrate their effectiveness for time-dependent glaciological modelling on a Marine Ice Sheet Model Intercomparison Project (MISMIP<span class="inline-formula">+</span>) experiment. …”
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A Novel LSTM Architecture for Automatic Modulation Recognition: Comparative Analysis With Conventional Machine Learning and RNN-Based Approaches by Sam Ansari, Soliman Mahmoud, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny

“…This paradigm eliminates the need for manual feature extraction, enhances interpretability, and significantly boosts classification efficiency. …”
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Res-ECA-UNet++: an automatic segmentation model for ovarian tumor ultrasound images based on residual networks and channel attention mechanism by Shushan Wei, Zhaoting Hu, Lu Tan

“…This integration enhances feature extraction efficiency while improving model stability and generalization capabilities. …”
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Multi-species Fish Identification using Hybrid DeepCNN with Refined Squeeze and Excitation Architecture by Jansi Rani Sella Veluswami, Nivetha Panneerselvam

“…Additionally, the Squeeze and Excitation (SE) block has been improved for improved feature extraction. The proposed method achieved an accuracy of 97.90%. …”
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