Domains of pseudo-differential operators: a case for the Triebel-Lizorkin spaces by Jon Johnsen

“…The proof also leads to the known continuity for s≻d, while for all real s the sufficiency of Hörmander's condition on the twisted diagonal is carried over to the Besov and Triebel-Lizorkin framework. To obtain this, type 1, 1-operators are extended to distributions with compact spectrum, and Fourier transformed operators of this type are on such distributions proved to satisfy a support rule, generalising the rule for convolutions. …”
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IDNet: An inception-like deformable non-local network for projection compensation over non-flat textured surfaces. by Yuqiang Zhang, Huamin Yang, Cheng Han, Chao Zhang, Chao Xu, Shiyu Lu

“…To systematically address these persistent challenges, we introduce IDNet, an innovative framework distinguished by its multi-scale receptive feature extraction modules. …”
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SAM-CTMapper: Utilizing segment anything model and scale-aware mixed CNN-Transformer facilitates coastal wetland hyperspectral image classification by Jiaqi Zou, Wei He, Haifeng Wang, Hongyan Zhang

“…For the sake of reproducibility, the PRISMA-HW datasets and the related codes of SAM-CTMapper framework will be open-sourced at: https://github.com/immortal13.…”
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D³-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario by Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang

“…To address these problems, this paper proposed D³-YOLOv10, a lightweight YOLOv10-based detection framework. Initially, a compact dynamic faster network (DyFasterNet) was developed, where multiple adaptive convolution kernels are aggregated to extract local effective features for fruit size adaption. …”
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Conditional Exponential Convex Functions on White Noise Spaces by Ahmed. M. Zabel, Areej A. Almoneef, Ayat Nassar, Abd-Allah Hyder

“…This approach is closely connected to the method by which we derived the Gaussian process, utilizing the framework of a Gelfand triple and the theorem of Bochner–Minlos. …”
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Using a discrete global grid system for a scalable, interoperable, and reproducible system of land-use mapping by Richard M. Law, James Ardo

“…This becomes computationally expensive as the number of inputs grow or the combinational classification logic becomes more convoluted. We present as a solution an analytical framework based on a DGGS. …”
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Revisiting the effect of point defects on the decay of the longitudinal optical mode in semiconductors by Julian Anaya

“…The defect-induced phonon decay rate was analysed using convolution methods and second-order perturbation theory. …”
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Uniform Analyticity and Time Decay of Solutions to the 3D Fractional Rotating Magnetohydrodynamics System in Critical Sobolev Spaces by Muhammad Zainul Abidin, Abid Khan

“…These results extended the existing literature on fractional Navier–Stokes equations by fully incorporating magnetic coupling and Coriolis effects within a unified fractional-dissipation framework.…”
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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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