A Comprehensive Survey of Research Trends in mmWave Technologies for Medical Applications by Xiaoyu Zhang, Chuhui Liu, Yanda Cheng, Zhengxiong Li, Chenhan Xu, Chuqin Huang, Ye Zhan, Wei Bo, Jun Xia, Wenyao Xu

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A Reproducible Analysis of Sequential Recommender Systems by Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri

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Defining a Novel Meaning of the New Organic Architecture by Jia-Rey Chang

“…Each statement corresponds with material optimization, multidisciplinary technologies, evolutionary processes, and genetic engineering which are all involved in current digital architectural design developments. …”
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Ultrahigh Resolution ISAR Imaging of a Target With Unknown and Complex Motion Using SA-NCS Algorithm by Yuexin Gao, Hanwen Yu, Min Xue, Jianlai Chen

“…The modified NCS algorithm takes the residual phase errors arising from NCS processing into consideration. It can achieve a better-focusing quality without bringing about too much additional computation burden. …”
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Heterogeneous nucleation mechanism of CaS and TiN on spinel combining DFT calculations and experiments by Shi Cheng, Tingping Hou, Yihang Zheng, Liling Yu, Tao Yu, Chaochao Yin, Serhii Yershov, Xianming Pan, Xiaojie Liu, Shue Hu, Kaiming Wu

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Multi-Pathway 3D CNN With Conditional Random Field for Automated Segmentation of Multiple Sclerosis Lesions in MRI by Reeda Saeed, Shahab U. Ansari, Muhammad Hanif, Kamran Javed, Usman Haider, Iffat Maab, Saeed Mian Qaisar, Pawel Plawiak

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Graph-to-Text Generation with Bidirectional Dual Cross-Attention and Concatenation by Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze, Feidu Akmel, Juhar Mohammed Assefa, Ali Shahzad

“…While transformer-based encoders have advanced natural language processing, their reliance on linearized data often obscures the complex interrelationships in graph structures, leading to structural loss. …”
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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2... by Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

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Research on large-scale P2P worm simulation by WU Guo-zheng, QIN Zhi-guang

“…P2P worm has its own features and existing simulation approaches can not be used to it directly.In order to simulate large-scale P2P worm,a virtual-node based simulation approach and a double-engine based simulation architec-ture were proposed.In the virtual-node based P2P simulation solution,the data and the operation of worm nodes were separated to save computational power and storage.Therefore,large-scale P2P worms were simulated with available lim-ited physical resources in single or multiple simulating computers.In double-engine P2P simulation architecture,two en-gines,local engine and network engine,were used in simulation system.The local engine was responsible for local mes-sage processing and the network engine focused on message passing in communication network.Combined with these two engines,packet level P2P worm simulation was provided by the simulation system to enhance the fidelity and scal-ability.Experimental results showed that the novel simulation solution was practical to simulate large-scale P2P worms with high fidelity.…”
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Supporting the Design of Systems for Energy Recovery from Mechanical Vibrations Containing MFC Piezoelectric Transducers by Marek Płaczek, Łukasz Dulat

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Color correction methods for underwater image enhancement: A systematic literature review. by Yong Lin Lai, Tan Fong Ang, Uzair Aslam Bhatti, Chin Soon Ku, Qi Han, Lip Yee Por

“…Physical model-based methods aim to reverse the effects of underwater image degradation by simulating the physical processes of light attenuation and scattering. In contrast, non-physical model-based methods focus on manipulating pixel values without modeling these underlying degradation processes. …”
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Drone-based fault recognition in power systems: a systematic review of intelligent methods by Carlos A. F. Persiani, Felipe M. Sallazar, Roberto S. Inoue, Valdir Grassi, Marco H. Terra, Mário Oleskovicz

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CacheSim: A cache simulation framework for evaluating caching algorithms on resource-constrained edge devices by Jian Liu, Yuxin Chen, Hao Ding

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HSimulator: Hybrid Stochastic/Deterministic Simulation of Biochemical Reaction Networks by Luca Marchetti, Rosario Lombardo, Corrado Priami

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Image Segmentation Algorithm Named FSICM Based on Spatial Information by ZHU Suxia, ZU Hongliang, SUN Guanglu

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Surface Hopping Nested Instances Training Set for Excited-state Learning by Robin Curth, Theodor E. Röhrkasten, Carolin Müller, Julia Westermayr

“…Abstract Theoretical studies of molecular photochemistry and photophysics are essential for understanding fundamental natural processes but rely on computationally demanding quantum chemical calculations. …”
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A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…The fusion of these features, enhanced by SE attention blocks, is processed through a CNN decoder, ensuring the model captures both local and global contextual information. …”
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A Framework for Data‒Driven Fault Diagnosis of Numerical Spacecraft Propulsion Systems by Kazushi Adachi, Samir Khan, Shinichi Nakasuka, Kohji Tominaga, Seiji Tsutsumi, Yu Daimon, Taiichi Nagata

“…The framework's effectiveness is demonstrated through implementation on a microcomputer, showing promising results in terms of diagnostic accuracy and processing speed, thus highlighting its potential for onboard spacecraft application. …”
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A Constant False Alarm Rate Detection Method for Sonar Imagery Targets Based on Segmented Ordered Weighting by Wankai Na, Haisen Li, Jian Wang, Jiani Wen, Tianyao Xing, Yuxia Hou

“…This hierarchical framework can significantly improve computational efficiency while reducing the FAR, thus enabling the practical implementation of advanced, computationally intensive CFAR detection methods in real-time target detection in sonar imagery. …”
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FFT-RDNet: A Time–Frequency-Domain-Based Intrusion Detection Model for IoT Security by Bingjie Xiang, Renguang Zheng, Kunsan Zhang, Chaopeng Li, Jiachun Zheng

“…The traditional IDS models, however, struggle with high computational complexity and inadequate feature extraction, limiting their accuracy and generalizability in IoT environments. …”
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