ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…Deep learning, which is a specialized branch of machine learning, utilizes multiple layers of neural networks, offering enhanced capabilities to model relationships and process large datasets. …”
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Post-Disaster Building Damage Segmentation Using Convolutional Neural Networks by Revaldi Rahmatmulya, Agung Teguh Wibowo Almais, Mokhamad Amin Hariyadi

“…The model evaluation process will employ Mean Intersection over Union (MIoU) to assess how closely the segmentation prediction results resemble the original data. …”
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Numerical Simulation of Ore Particle Flow Behaviour through a Single Drawpoint under the Influence of a Flexible Barrier by Qingfa Chen, Shikang Qin, Qinglin Chen

“…A numerical simulation of the ore particle flow behaviour through a single drawpoint under the influence of a flexible barrier was performed; following which, a visualization of the change process in the marked layers, draw column, flexible barrier, and cavity was obtained. …”
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A Review and Prospect for the Complexity and Resilience of Urban Public Transit Network Based on Complex Network Theory by Lin Zhang, Jian Lu, Bai-bai Fu, Shu-bin Li

“…The deep understanding of this study helps to provide a new perspective for analyzing the reliability of urban PTN. Following study process of the complexity and resilience of complex network, this paper reviews the complexity and resilience of PTN from four topics, i.e., the PTN complexity, the static resilience of PTN, the dynamic resilience (cascading failures based resilience) of single layered PTN, and the dynamic resilience of interdependent PTN. …”
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Experimental Study on Mechanical Deformation Characteristics of Inclined and Straight Alternating Pile Groups by Desen Kong, Meixu Deng, Yazhou Li

“…In order to investigate the bearing characteristics of inclined straight alternating pile groups under vertical and horizontal loads, the indoor model test of 2 × 2 inclined straight alternating pile groups with two layers of soil on low pile caps was carried out, the manufacturing method of inclined straight alternating pile groups was studied, and the test scheme was reasonably designed. …”
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Removing Stripe Noise From Infrared Cloud Images via Deep Convolutional Networks by Pengfei Xiao, Yecai Guo, Peixian Zhuang

“…To further improve the performance, we propose a local-global combination structure model, which combines the representations of different layers for recovering the rich details of infrared cloud images. …”
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Anatomy guided modality fusion for cancer segmentation in PET CT volumes and images by Ibtihaj Ahmad, Sadia Jabbar Anwar, Bagh Hussain, Atiq ur Rehman, Amine Bermak

“…Unlike traditional fixed normalization techniques, we introduce novel “zero layers” with learnable normalization. The proposed intermediate fusion reduces the number of filters, resulting in a lightweight model. …”
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A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks by Gizem Irmak, Ahmet Saygılı

“…The findings indicate that the CNN model consistently outperformed classical learning methods, achieving accuracy rates of 99.5%, 98.50%, and 97.0% for 2-class, 6-class, and 10-class classifications, respectively. …”
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A Comparative Analysis of Discourse-Oriented Contexts of Prophet Noah In two Surahs of Hood and Noah Based on Van Leeuwen's Framework by Ebrahim Fallah, Sajjad Shafipoor

“…In this study, the discourse-oriented contexts of the narrative of Prophet Noah in Van Leeuwen's sociological-semantic framework have been examined in terms of the effectiveness of this model and its components in analyzing this narrative. …”
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Influence of Self-Heating on Landfill Leachate Migration by Yanina Parshakova, Ruslan Kataev, Natalya Kartavykh, Mikhail Viskov, Andrey Ivantsov

“…The hydrodynamic processes of landfill leachate migration in the base of a solid waste landfill can have a critical impact on the natural environment. …”
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Application of the magnetotelluric method in geothermal exploration in Jianshi county, Hubei province, China by Peng Simeng, Xie Xingbing, Zhang Lianqun, Rao Song, Zhou Lei, Lu Chuyang, Li Yuxi

“…The Magnetotelluric (MT) sounding method, which is not shielded by high-resistance layers and provides high resolution for low-resistance layers, has unique advantages in revealing geothermal system structures, delineating hydrothermal geoelectric structures, and assessing the development potential of geothermal regions. …”
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Deep learning for air pollution detection: Analyzing scots pine needles with SEM/EDS by Mirosław Szwed, Witold Żukowski, Dariusz Pasieka

“…What was used to build the model, were scanning electron microscopy images of two-year-old needles of Pinus sylvestris L. …”
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CerviXpert: A multi-structural convolutional neural network for predicting cervix type and cervical cell abnormalities by Rashik Shahriar Akash, Radiful Islam, SM Saiful Islam Badhon, KSM Tozammel Hossain

“…Our approach emphasizes simplicity, using a limited number of convolutional layers followed by max-pooling and dense layers, trained from scratch. …”
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Tracking Secondary Raw Material Operational Framework—DataOps Case Study by Gabriel Pestana, Marisa Almeida, Nelson Martins

“…The Waste Resource Platform (WRP) integrates Industry 4.0 paradigms, utilizing a modular, layered architecture and a process-centric design. …”
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Short- and long-range cis interactions between integrated HPV genomes and cellular chromatin dysregulate host gene expression in early cervical carcinogenesis. by Ian J Groves, Emma L A Drane, Marco Michalski, Jack M Monahan, Cinzia G Scarpini, Stephen P Smith, Giovanni Bussotti, Csilla Várnai, Stefan Schoenfelder, Peter Fraser, Anton J Enright, Nicholas Coleman

“…However, the process of integration itself and dysregulation of host gene expression at sites of integration in our model of HPV16 integrant clone natural selection has remained enigmatic. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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The Сharacter and Development of photoreceptors photodegeneration combined with alloxan diabetes by S. V. Logvinov, E. Yu. Varakuta, A. V. Potapov

“…The rats of group 1 (n = 20) received 1 injection of alloxan (15 mg per 100 g of weight) in order to model diabetes mellitus. The rats of group 2 (n = 20) were exposed for light of luminecent LB-40 lamps (6000 lx) for 6 hours. …”
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Reconceptualizing the balanced scorecard as a communication mechanism in healthcare by Feng Guo, Ying Sophie Huang, Moeki Nemoto, Moeki Nemoto

“…Our framework consists of four interconnected layers: healthcare values foundation, BSC perspectives, healthcare communication processes (clinical strategic, interprofessional coordination, and healthcare stakeholder communication), and constitutive processes. …”
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Participatory Visual Methods and the Mobilization of Community Knowledge: Working Towards Community-Derived Disaster Risk Management in the Context of Advancing Climate Change by Gillian F. Black, Leif Petersen, Tsitsi J. Mpofu-Mketwa, Liezl Dick, Anna Wilson, Sikhululekile Ncube, Amber Abrams, Kirsty Carden, Jen Dickie, Niall Hamilton-Smith, Laurence Piper, Guy Lamb

“…We use the ‘Water and Fire’ project as an example of a research process undertaken to mobilize community knowledge on environmental disaster risk management. …”
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Ionic Cell Microscopy: A new modality for visualizing cells using microfluidic impedance cytometry and generative artificial intelligence by Mahtab Kokabi, Gulam M. Rather, Mehdi Javanmard

“…Instead of traditional imaging methods, electrical impedance signals were used to reconstruct cell images. A generative AI model with eight hidden layers processed 191 impedance values to accurately reconstruct the shapes of cancer cells and control beads. …”
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