Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis by Xie Y., Mariano V.

“…While challenges such as data imbalance and limited generalization remain, this research provides a robust technical framework for speed climbing video analysis and lays the groundwork for broader applications in spatiotemporal modeling and intelligent sports analytics.…”
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A New Description of Transverse Momentum Spectra of Identified Particles Produced in Proton-Proton Collisions at High Energies by Pei-Pin Yang, Fu-Hu Liu, Raghunath Sahoo

“…The transverse momentum spectrum of the hadron is the convolution of two or more TP-like functions. For a lepton, the transverse momentum spectrum is the convolution of two TP-like functions due to two participant quarks, e.g., projectile and target quarks, taking part in the collisions. …”
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FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G by Puviyarasi Thirugnanasammandamoorthi, Debabrata Ghosh, Ram Kishan Dewangan, Mohammad Kamrul Hasan, Khairul Akram Zainol Ariffin, Huda Saleh Abbas, Hashim Elshafie, Rashid A. Saeed, Ala Eldin Awouda

“…This article proposes FloodNet-Lite, a lightweight and scalable DL framework for real-time flood mapping in 6G-enabled environments. …”
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AI-Powered Human Activity Recognition for Real-Time Detection of Inactive Workers in the Workplace by Sayeed Arina Noor Abdul, Naidu Devishree Rohit

“…This research presents a novel way to identify idle employees (non or low productivity) that has not been used in the prior literature utilizing Human Activity Recognition (HAR) in a YOLOv11-CNN (Convolution Neural Networks) detection framework. The model was trained and validated using three datasets from RoboFlow Universe which focused on workplace scenarios and was specifically designed to identify "active" and "sleeping" modes of employee non or low productivity. …”
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Towards a New Generation of Impulse‐Response Functions for Integrated Earth System Understanding and Climate Change Attribution by Alexander J. Winkler, Carlos A. Sierra

“…One path forward is to integrate the IRF framework with data‐driven methods, such as machine learning, to learn these state dependencies in a hybrid approach. …”
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Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure by Qun Luo, Zhendong Liu

“…Based on the analysis of the face local attribute detection task, SSD was used as the basic detection network structure, and the VGG16 feature extraction model was used as the framework of face local detection. On this basis, by organically connecting different layers of the SSD network and integrating convolution block attention module, the improved SSD network structure was used to realize face local attribute detection. …”
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InSAR Phase Unwrapping Algorithm Based on Deep GAN by Chenxia Wang, Pingli Sun, Zheng Li, Linlin Tang

“…In this paper, the phase unwrapping technology will be studied under the framework of deep learning theory according to the development trend of InSAR intelligence. …”
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Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11 by Tianhang Weng, Xiaopeng Niu

“…This paper introduces ELS-YOLO, a lightweight object detection model tailored for low-light environments, built upon the YOLOv11s framework. ELS-YOLO features a re-parameterized backbone (ER-HGNetV2) with integrated Re-parameterized Convolution and Efficient Channel Attention mechanisms, a Lightweight Feature Selection Pyramid Network (LFSPN) for multi-scale object detection, and a Shared Convolution Separate Batch Normalization Head (SCSHead) to reduce computational complexity. …”
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Lightweight Domestic Pig Behavior Detection Based on YOLOv8 by Kaining Zhang, Yu Zhang, Hongli Xu

“…Subsequently, a Grouped Convolution module is integrated into the convolution framework, followed by incorporating the SE module to diminish the recognition error rate further. …”
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Application of $ q $-starlike and $ q $-convex functions under $ (u, v) $-symmetrical constraints by Hanen Louati, Afrah Al-Rezami, Erhan Deniz, Abdulbasit Darem, Robert Szasz

“…The main contribution of this work was the establishment of a framework that amalgamates $ q $-starlikeness and $ q $-convexity with the symmetry conditions imposed by $ (u, v) $-symmetrical functions. …”
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HyperTaste Lab—A Notebook with a Machine Learning Pipeline for Chemical Sensor Arrays by Gianmarco Gabrieli, Michal Muszynski, Matteo Manica, Joris Cadow-Gossweiler, Patrick W. Ruch

“…The cross-sensitivity of materials in low-selective sensor arrays, namely e-noses and e-tongues, results in a convoluted sensor array response, which renders traditional analytical methods for data processing ineffective. …”
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Local-non-local complementary learning network for 3D point cloud analysis by Ning Ye, Kaihao Feng, Sen Lin

“…Leveraging partial convolution, LNLCL-Net divides the feature map into distinct local and non-local components. …”
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Mifu-ER: Modality Quality Index-Based Incremental Fusion for Emotion Recognition by Sun-Hee Kim

“…This paper proposes a novel incremental fusion framework for multimodal physiological data-based emotion recognition, called Modality Quality Index (MQI)-based incremental fusion for Emotion Recognition (Mifu-ER). …”
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Toward the validation of crowdsourced experiments for lightness perception. by Emily N Stark, Terece L Turton, Jonah Miller, Elan Barenholtz, Sang Hong, Roxana Bujack

“…These findings suggest that, with sufficient sample size, color vision studies may be completed online, giving access to a larger and more representative sample. With this framework at hand, experimentalists have the validation that choosing either many online participants or few in person participants will not sacrifice the impact of their results.…”
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SSHFormer: Optimizing Spectral Reconstruction with a Spatial–Spectral Hybrid Transformer by Ang Gao, Yubo Dong, Danhua Liu, Anqi Li, Zhenyuan Lin, Yuyan Li

“…Within this study, we introduce an integrated spatial–spectral hybrid Transformer (SSHFormer) framework designed to capture the interplay between spatial and spectral features in HSIs, with the aim of incrementally enhancing the fidelity of the reconstructed HSIs. …”
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Quantum Integral Inequalities with Respect to Raina’s Function via Coordinated Generalized Ψ-Convex Functions with Applications by Saima Rashid, Saad Ihsan Butt, Shazia Kanwal, Hijaz Ahmad, Miao-Kun Wang

“…In accordance with the quantum calculus, we introduced the two variable forms of Hermite-Hadamard- (HH-) type inequality over finite rectangles for generalized Ψ-convex functions. This novel framework is the convolution of quantum calculus, convexity, and special functions. …”
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HALF: Histogram of Angles in Linked Features for 3D Point Cloud Data Segmentation of Plants for Robust Sensing by Hidenori Takauji, Naofumi Wada, Shun’ichi Kaneko, Takanari Tanabata

“…To enhance robustness and interpretability, we extend HALF to a convolution-based mathematical framework and introduce the Sequential Competitive Segmentation Algorithm (SCSA) for phytomer-level classification. …”
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Multi-Frame Joint Detection Approach for Foreign Object Detection in Large-Volume Parenterals by Ziqi Li, Dongyao Jia, Zihao He, Nengkai Wu

“…To address these challenges, this paper proposes a multi-frame object detection framework based on spatiotemporal collaborative learning, incorporating three key innovations: a YOLO network optimized with deformable convolution, a differentiable cross-frame association module, and an uncertainty-aware feature fusion and re-identification module. …”
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YOLO-SAR: An Enhanced Multi-Scale Ship Detection Method in Low-Light Environments by Zihang Xiong, Mei Wang, Ruixiang Kan, Jiayu Zhang

“…To address this weakness, we create the Lowship dataset and propose the YOLO-SAR framework, which is based on the You Only Look Once (YOLO) architecture. …”
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One Health interventions and challenges under rural African smallholder farmer settings: A scoping review by Evanson R. Omuse, Honest Machekano, Bonoukpoè M. Sokame, Daniel M. Mutyambai, Thomas Dubois, Sevgan Subramanian, Frank Chidawanyika

“…This has led to more convoluted health challenges, for which African smallholder farmers bear the brunt. …”
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