A Lightweight Dual-Branch Complex-Valued Neural Network for Automatic Modulation Classification of Communication Signals by Zhaojing Xu, Youchen Fan, Shengliang Fang, You Fu, Liu Yi

“…Complex-valued neural networks (CVNNs) show unique advantages in the field of communication signal processing because of their ability to directly process complex data and obtain signal amplitude and phase information. …”
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Vibration-based gearbox fault diagnosis using a multi-scale convolutional neural network with depth-wise feature concatenation. by Van-Trang Nguyen, Quoc Bao Diep

“…The proposed method addresses these industrial challenges by integrating advanced signal processing techniques with deep learning architectures to enhance diagnostic accuracy and robustness. …”
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A mixed‐methods approach for identifying high conservation value areas in the high‐altitude landscapes of the Indian Himalayan region by Mehebub Sahana, Gopala Areendran, Akhil Sivadas, Md Masroor, C. S. Abhijita, Krishna Raj, Kumar Ranjan, Diwakar Sharma, Md Sajid Sultan, Abhishek Ghoshal, Siddharth Parameswaran, Haroon Sajjad, Samrat Deb, Kashif Imdad

“…The final high‐priority high conservation values areas (HPHCVAs) were successfully demarcated based on expert opinions, stakeholder consultations and Indigenous People and local community (IPLC) engagements from the identified 1–6 HCV layers in the Analytic Hierarchy Process (AHP) model. …”
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Forecast of hydrocarbon losses in deposits during the development of gas condensate fields by R. K. Dobrolyubova, E. I. Inyakina, I. I. Krasnov, V. V. Inyakin, A. F. Semenenko

“…The studies performed in the framework of the work by the contact and differential method on the reservoir fluid model (MPF) with imitation of the process of natural depletion of the deposit proved that low condensate content leads to lower losses in the reservoir. …”
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Efficient Single-Exposure Holographic Imaging via a Lightweight Distilled Strategy by Jiaosheng Li, Haoran Liu, Zeyu Lai, Yifei Chen, Chun Shan, Shuting Zhang, Youyou Liu, Tude Huang, Qilin Ma, Qinnan Zhang

“…By reducing the number of network layers and utilizing knowledge distillation to improve the performance of a simple model, high-quality holographic reconstruction is achieved with only one hologram, greatly reducing the number of parameters in the network model. …”
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Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network by Guo-Hong Deng, Peng-Cheng Xie, You-Wen Sun, Hui-Hui Wang, Jian Xu, Qun Ma, Shuai Gu, Hui Sheng, Hua Yang, Gao-Ting Chen

“…The MTL-NN comprises two task-specific layers and a shared layer. The multi-task learning framework allows for mutual error correction between tasks, resulting in higher accuracy and robustness compared to single-task models. …”
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The Concept of a Digital Twin for the Wały Śląskie Hydroelectric Power Plant: A Case Study in Poland by Artur Machalski, Przemysław Szulc, Dominik Błoński, Aneta Nycz, Magdalena Nemś, Janusz Skrzypacz, Przemysław Janik, Zuzanna Satława

“…The digital twin architecture developed to address these issues features modular components, including data acquisition, data processing, visualization, and integration layers, emphasizing scalability, adaptability, and secure interoperability. …”
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Triggers of inland heavy rainfall inducing convective storms in West Africa : Case study of June, 2021 by G.A. Torsah, M.A. Osei, J.N.A. Aryee, J.A.A. Oti, L.K. Amekudzi

“…Due to their rapidly changing atmospheric processes, forecasting thunderstorms resulting from the merger of isolated cells is a complex task for highly-resolved numerical weather prediction models. …”
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Establishment of a wastewater-based surveillance network to support infectious disease surveillance in South Africa by Ms Sibonginkosi Maposa, Dr Mukhlid Yousif, Ms Chenoa Sankar, Mr Victor Vusi Mabasa, Ms Nosihle Msomi, Mr Emmanuel Phalane, Mr Sipho Gwala, Ms Mokgaetji Macheke, Ms Natasha Singh, Ms Kathleen Subramoney, Ms Phindile Ntuli, Mr Nkosenhle Ndlovu, Mr Thabo Mangena, Ms Mantshali Motloung, Mr Lethabo Monametsi, Ms Lebohang Rabotapi, Ms Fiona Els, Dr Said Rachida, Ms Sibonginkosi Maposa, Dr Kerrigan McCarthy

“…We describe lessons learned sample collection, laboratory processing and data analysis and reporting as the surveillance network has become established. …”
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Chromatin measurements reveal contributions of synthesis and decay to steady‐state mRNA levels by Sylvia C Tippmann, Robert Ivanek, Dimos Gaidatzis, Anne Schöler, Leslie Hoerner, Erik van Nimwegen, Peter F Stadler, Michael B Stadler, Dirk Schübeler

“…Abstract Messenger RNA levels in eukaryotes are controlled by multiple consecutive regulatory processes, which can be classified into two layers: primary transcriptional regulation at the chromosomal level and secondary, co‐ and post‐transcriptional regulation of the mRNA. …”
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Al2O3/Al hybrid nanolaminates with superior toughness, strength and ductility by Paul Baral, Sahar Jaddi, Hui Wang, Andrey Orekhov, Nicolas Gauquelin, Alireza Bagherpour, Frederik Van Loock, Michaël Coulombier, Audrey Favache, Morgan Rusinowicz, Johan Verbeeck, Stéphane Lucas, Jean-Pierre Raskin, Hosni Idrissi, Thomas Pardoen

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Advanced GIS-based Multi-Function Support System for Identifying the Best Route by Suhiar Mohammed Zeki Abd Alsammed

“…One of the main merits of this model is to be faster by removing the influence of non-processed data like null values and unlinked roads on offline google maps levels. …”
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Supergravity and In‐Situ Evaporation Induced Well‐Aligned and Self‐Crosslinked 2D Material‐Based Thin Films by Dawei Zhang, Abdallah Kamal, Baosong Li, Dezhuang Ji, Liming Zhao, Kang Cheng, Xuan Li, Sharmarke Mohamed, Qingwen Li, Liao Kin, Lianxi Zheng

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Magnetically sensitive nanocomposites for targeted antitumor therapy with application of gemcitabine by N. M. Korniichuk, S. P. Turanska, A. L. Petranovska, M. V. Abramov, P. P. Gorbyk, N. Yu. Luk'yanova, N. V. Kusyak, V. F. Chekhun

“…The thickness of the adsorbed layer of GEM in the composition of Fe3O4@GEM NC was determined by magnetic granulometry. …”
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Thrust Resistance Calculation Method in Diaphragm Wall Grab Trenching Considering Soil Accumulation and Slurry Pressure by CAO Yu, MENG Hongfeng, WANG Qian, WANG Xiaohui, LI Jie, CHEN Fudan

“…[Method] Aiming at diaphragm wall hydraulic grab trenching construction, the failure, movement, and accumulation characteristics of soil in the excavation process are analyzed. Based on the existing model, the soil accumulation angle and slurry pressure in grab are introduced, and an improved calculation model of thrust resistance is constructed using plastic limit analysis method, and the corresponding calculation formula is derived. …”
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An Improved Crop Disease Identification Method Based on Lightweight Convolutional Neural Network by Tingzhong Wang, Honghao Xu, Yudong Hai, Yutian Cui, Ziyuan Chen

“…Then a neural network with nine convolutional layers is built to work on crop images, the first stage of training loads data samples, and divide the training set and verification set, and then set the learning rate, image intensifier, and optimizer and compile the training convolution model. …”
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New interpretation technique for tracer well tests by K. M. Fedorov, A. P. Shevelev, A. Y. Gilmanov, A. A. Izotov, A. V. Kobyashev

“…Tracer well tests were proposed in the last century as an approach for elaboration of detailed reservoir models. Such tests implied injecting weakly adsorbable tracers into an injection well followed by collection and analysis of samples in nearby production wells. …”
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Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations by Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik

“…We studied their techniques and their ability to handle challenges in analyzing multi-omics data, particularly regarding missing data, dimensionality, and processing workflows. We also discuss how well these methods consider explainability, interpretability, and ethical aspects in developing solutions that treat private medical and sensitive information.From the 32 studies, we can divide deep learning-based multi-omics integration methods into two types: non-generative and generative models. …”
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Explainable CNN for brain tumor detection and classification through XAI based key features identification by Shagufta Iftikhar, Nadeem Anjum, Abdul Basit Siddiqui, Masood Ur Rehman, Naeem Ramzan

“…Besides, these models often include additional layers and parameters, which further complicate the classification process. …”
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The Impact of COVID-19 on “Reconstructive Burnout” Following Mastectomy by Victoria A. Hodkiewicz, BS, Christopher Kujalowicz, BSA, BA, Bianca A. Di Chiaro, MD, MPH, Jeewon Chon, MA, Marina Feffer, MPH, Eleanor Bucholz, MD, Timothy W. King, MD, PhD, MBA

“…We hypothesize that the COVID-19 pandemic and subsequent postponement of elective procedures added an additional layer of complexity to this process, contributing to failure to achieve complete reconstruction. …”
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