Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM. by Sadia Nazim, Muhammad Mansoor Alam, Syed Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Suud

“…There has been relatively little study on explainability, especially when dealing with malware imagery data, irrespective of the fact that DL/ML algorithms have revolutionized malware detection. Explainability techniques such as SHAP, LIME, and Grad-CAM approaches are employed to present a complete comprehension of feature significance and local or global predictive behavior of the model over various malware categories. …”
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A novel approach for multiclass sentiment analysis on Chinese social media with ERNIE-MCBMA by Youyang Sun, Ziyi Yu, Yuyu Sun, Yaqing Xu, Boming Song

“…Conducting sentiment analysis on Weibo posts using natural language processing techniques is crucial for market research and public opinion observation, holding significant commercial and societal importance. …”
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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

“…In recent times, the field met with new set of challenges where new algorithms have to contend with highly unstructured sources for sentiment expressions emanating from online social media fora. …”
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Joint User Association and Resource Allocation for Hierarchical Federated Learning Based on Games in Satisfaction Form by Panagiotis Charatsaris, Maria Diamanti, Symeon Papavassiliou

“…In this paper, we consider a wireless user-edge-cloud HFL network where the transmissions of the users’ local model parameters to the edge are multiplexed via the Non-Orthogonal Multiple Access (NOMA) technique. …”
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ACCOUNTING OF INSTRUMENTAL ERRORS IN THE CONTROL OF WINDINGS OF ELECTRICAL MACHINES WITH THE USE OF QUASI-PERIODIC TEST SIGNALS by A. A. Sheinikov, Yu. V. Suchodolov, V. V. Zelenko

“…Ideally, the shape of the optimal filter frequency response should coincide with the shape of the spectrum of the useful signal, which determines the complexity of such a filter. The aim of the research is to increase the accuracy of measurements and simplify the algorithmic support of measuring systems by developing a mathematical tool that makes it possible to uniquely identify and take into account errors caused by the finiteness of the measurement intervals in the processing. …”
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COMMUNICATION STRATEGIES AND TACTICS IN CRISIS SITUATIONS by Olena Danylina

“…A comprehensive review of Ukrainian and international literature on the transformation of the crisis environment and the media’s role in covering it deepens our understanding of the multilevel nature of contemporary crises, from global economic shocks to local reputational disruptions. Drawing on content analysis of emblematic cases (COVID-19, the Suez Canal blockage, Russian propaganda campaigns, etc.) and synthesising the ideas of K. …”
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Real-Time FTM-Based Victim Positioning System Using Heterogeneous Robots in Remote and Outdoor Scenarios by Juan Bravo-Arrabal, Carlos Simon Alvarez-Merino, Manuel Toscano-Moreno, Javier Seron-Barba, J. J. Fernandez-Lozano, Jose Antonio Gomez-Ruiz, Emil J. Khatib, Raquel Barco, Alfonso Garcia-Cerezo

“…The complete system, including source code, dataset, and a containerized environment, is openly available to support reproducibility and further research, highlighting the potential of robotic and wireless technologies to enhance disaster response through accurate, real-time localization in complex environments.…”
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Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones by Temitope Sam-Odusina, Petrisly Perkasa, Carl Chalmers, Paul Fergus, Steven N. Longmore, Serge A. Wich

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Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment f... by Sujin Kim, Ah Young Kim, Yu-Bin Shin, Seonmin Kim, Min-Sup Shin, Jinhwa Choi, Kyung Lyun Lee, Jisu Lee, Sangwon Byun, Heon-Jeong Lee, Chul-Hyun Cho

“…The primary outcome will be the development of machine-learning algorithms to predict depression and anxiety based on these digital biomarkers. …”
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Predicting the risk of postoperative avascular necrosis in patients with talar fractures based on an interpretable machine learning model by Jian Zhang, Jian Zhang, Jian Zhang, Jihai Xu, Jihai Xu, Jiapei Yu, Jiapei Yu, Jiapei Yu, Hong Chen, Hong Chen, Xin Hong, Songou Zhang, Xin Wang, Xin Wang, Chengchun Shen, Chengchun Shen, Chengchun Shen

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State of affairs of tuberculosis in prison facilities: a systematic review of screening practices and recommendations for best TB control. by Natalie V S Vinkeles Melchers, Sabine L van Elsland, Joep M A Lange, Martien W Borgdorff, Jan van den Hombergh

“…<h4>Discussion</h4>TB screening algorithms differ by income area and should be adapted to local contexts. …”
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Clinical relevance and druggability of sole reciprocal kinase fusions: A large‐scale study by Jiao Feng, Tonghui Ma, Chunyang Wang, Baoming Wang, Qian Liu, Zhengchuang Liu, Houquan Tao, Zaiyuan Ye

“…Conclusion This inaugural multicenter study introduces a novel algorithm for detecting and treating sole reciprocal fusions in advanced cancers, expanding the patient population potentially amenable to KIs.…”
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Re-resection of brain metastases – outcomes of an institutional cohort study and literature review by David Wasilewski, Zoe Shaked, Annalena Fuchs, Siyer Roohani, Ran Xu, Max Schlaak, Nikolaj Frost, Martin Misch, David Capper, David Kaul, Julia Onken, Peter Vajkoczy, Felix Ehret

“…This study underscores the potential role of re-resection in brain metastasis. Further research to improve patient selection and treatment algorithms is warranted.…”
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TCN–Transformer Spatio-Temporal Feature Decoupling and Dynamic Kernel Density Estimation for Gas Concentration Fluctuation Warning by Yanping Wang, Longcheng Zhang, Zhenguo Yan, Jun Deng, Yuxin Huang, Zhixin Qin, Yuqi Cao, Yiyang Wang

“…A flood optimization algorithm (FLA) is used to establish a hyperparameter collaborative optimization framework. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…To optimize feature integration, we incorporate an improved dung beetle optimization algorithm, which adaptively assigns fusion weights during inference. …”
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A multi-robot collaborative manipulation framework for dynamic and obstacle-dense environments: integration of deep learning for real-time task execution by Afnan Ahmed Adil, Saber Sakhrieh, Jinane Mounsef, Noel Maalouf

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Implementasi Metode Backpropogation dengan Inisialisasi Bobot Nguyen Widrow untuk Peramalan Harga Saham by Eliv Kurniawan, Hari Wibawanto, Djoko Adi Widodo

“…The results of this research indicate that the training of artificial neural networks with many datasets required a complex calculations, so the artificial neural network with simple architectures is less effective and can get stuck at minimum local points. …”
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Sandwich Miura‐Ori Enabled Large Area, Super Resolution Tactile Skin for Human–Machine Interactions by Qian Xu, Zhiwei Yang, Zhengjun Wang, Ruoqin Wang, Boyang Zhang, YikKin Cheung, Rui Jiao, Fan Shi, Wei Hong, Hongyu Yu

“…Using machine learning techniques, the proposed tactile skin can accurately localize touch inputs (average localization error of 1.89 mm) and estimate the external force (average estimation error of 8%). …”
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Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records by L. Mazzeo, F. Corso, P. Baili, F. Scotti, V. Torri, M. Ganzinelli, V. Mišković, R. Leporati, L. Provenzano, A. Spagnoletti, C. Silvestri, C. Giani, C. Cavalli, R.M. di Mauro, M. Meazza Prina, C. Proto, M. Brambilla, M. Occhipinti, S. Manglaviti, T. Beninato, D. Miliziano, A.D. Dumitrascu, G. Di Liberti, T.S. Cassano, F.G.M. de Braud, Giuseppe Lo Russo, A. Cappozzo, A.M. Paganoni, F. Ieva, A. Prelaj

“…Patients were treated in first-line (1L) with osimertinib or other TKIs (non-osimertinib). A text-mining algorithm was implemented to retrieve RWD from EHRs. …”
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Characteristics of psychosocial status in women with neuroimaging brain changes due to hiv infection and viral hepatitis C by E. V. Boeva, N. B. Khalezova, V. V. Rassokhin, N. G. Neznanov, E. A. Gromova, A. A. Bogdan, T. N. Trofimova, N. A. Belyakov

“…The algorithm of examination and management of patients with HIV infection and HCV is proposed.…”
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