UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

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MRTMD: A Multi-Resolution Dataset for Evaluating Object Detection in Traffic Monitoring Systems by Mark Bugeja, Matthias Bartolo, Matthew Montebello, Dylan Seychell

“…However, their effectiveness depends heavily on the quality of the input data, especially image resolution. With high-resolution cameras, especially 4K, balancing image quality, detection accuracy, and system efficiency is critical. …”
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Improving Far-Edge Device Management in IoT Applications Using Kubernetes by Carlos Resende, Joao Oliveira, Filipe Sousa, Waldir Moreira, Luis Almeida Sousa

“…Internet of Things (IoT) driven digitalization is shifting data processing to the edge, reducing the burden of constant cloud communication. …”
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New Perspectives on Lung Cancer Screening and Artificial Intelligence by Leonardo Duranti, Luca Tavecchio, Luigi Rolli, Piergiorgio Solli

“…Early detection is vital for improving patient outcomes; however, survival rates remain low due to late-stage diagnoses. Accumulating data supports the idea that screening methods are useful for improving early diagnosis in high-risk patients. …”
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An advanced fire detection system for assisting visually challenged people using recurrent neural network and sea-horse optimizer algorithm by Fahd N. Al-Wesabi, Abeer A. K. Alharbi, Ishfaq Yaseen

“…To achieve this, the proposed SFDAB-ARNNSHO model performs image pre-processing by utilizing the sobel filtering (SF) model to remove noise in input data. …”
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Gender Relations and Women Empowerment in Kisoro Municipality. by Kamahoro, Janet

“…:velopment process and women should get access to economic assets like land and houses that an be used as collateral to secure soft loans. …”
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DeSPPNet: A Multiscale Deep Learning Model for Cardiac Segmentation by Elizar Elizar, Rusdha Muharar, Mohd Asyraf Zulkifley

“…Conclusions: Different PPDM configurations produce a different effect on the network; as such, a shallower layer placement, like encoder layer 4, retains more spatial data that need more parallel paths to gather the optimal set of multiscale features. …”
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Valorising mango, cashew apple, and papaya by-products for sustainable small ruminant production in low-income food deficit countries—a review by Antoinette Simpah Anim-Jnr, Salma Binta Yusif Ishaq, Prince Sasu, Sadat Gyimah, Henry Michael Rivers Greathead, Christine Boesch, Faith Philemon Mabiki, Mohammad Naushad Emmambux

“…The review also addresses the environmental aspect, pointing out potential greenhouse gas emissions resulting from improper disposal of fruit wastes and the urgent need to convert them into animal feeds. It provides data on processing, preservation techniques, chemical composition, and the limited available information on the impact of these fruit by-products on feed intake, growth, carcass quality, methane emissions, and overall well-being of small ruminants. …”
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Alterations in functional and structural connectivity in the 6-OHDA-induced Parkinsonian rat model by Shuyi Zhu, Shuyi Zhu, Maurizio Bergamino, Alberto Fuentes, Ivette M. Sandoval, David J. Marmion, Christopher Bishop, Fredric P. Manfredsson, Ashley M. Stokes

“…Post-mortem tyrosine hydroxylase (TH) staining confirmed extensive dopaminergic neuron loss, validating the pathological relevance of the model and ensuring data integrity. MRI data were collected at 7T in 46 male Fischer F344 rats (23 6-OHDA, 23 sham) to characterize functional and structural connectivity differences between cohorts.ResultsFunctionally, decreased connectivity between the retrosplenial and endopiriform cortices in the 6-OHDA model suggests disrupted sensory processing, while increased connectivity between the hippocampus and retrosplenial cortex indicates possible compensatory mechanisms. …”
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A Novel SERS Silent-Region Signal Amplification Strategy for Ultrasensitive Detection of Cu²⁺ by Jiabin Su, Kaixin Chen, Ping Zhou, Nan Li

“…Experimental results demonstrated this SERS sensor possesses significant merits towards the determination of Cu²⁺ in terms of high selectivity, broad linear range from 1 nM to 1 mM, and low limit of detection (0.1 nM) superior to other reported colorimetric, fluorescence, and electrochemical methods. Moreover, algorithm data processing for optimization of SERS original data was further used to improve the SERS signal reliability. …”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Impulse response and variance decomposition confirm the transmission of price shocks across states, reinforcing their interdependence.ConclusionTo enhance black gram production and market stability, investments in high-yielding and climate-resilient varieties, improved storage, transportation, and processing infrastructure are essential. Strengthening market information systems, refining procurement mechanisms, and expanding digital platforms like e-NAM can improve price discovery and farmer participation. …”
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MemesViTa: A Novel Multimodal Fusion Technique for Troll Memes Identification by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Saad Aldosary, Walid El-Shafai

“…Multimodal combinations, including BERT+VGG16 and BERT+VGG16+CLIP, highlight the importance of integrating multiple data modalities. Our findings suggest that combining visual and textual data and the strategic use of LLMs can significantly improve the robustness and accuracy of troll meme detection systems. …”
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Synergizing vision transformer with ensemble of deep learning model for accurate kidney stone detection using CT imaging by Arwa Alzughaibi, Adwan A. Alanazi, Mohammed Alshahrani, Ines Hilali Jaghdam, Abaker A. Hassaballa

“…At first, the presented LFFOEDL-AKSD technique applies the pre-processing phase, which involves image resizing for uniform CT scan dimensions and data augmentation through transformations like rotation and flipping to reduce overfitting, sobel filtering (SF) sharpens edges, and the data is separated into training, validation, and testing sets for model development. …”
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A Deep Learning Framework for the Classification of Brazilian Coins by Debabrata Swain, Viral Rupapara, Amro Nour, Santosh Satapathy, Biswaranjan Acharya, Shakti Mishra, Ali Bostani

“…At the same time, image-based methods rely on other properties like color, shape, and edge. This paper presents a novel deep-learning framework tailored to classify Brazilian coins. …”
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Machine learning algorithms for maize yield prediction with multispectral imagery: Assessing robustness across varied growing environments by Bala Ram Sapkota, Gurjinder S. Baath, K. Colton Flynn, Kabindra Adhikari, Chad Hajda, Douglas R. Smith

“…Hybrid models combining spectral bands and VIs achieved the greatest prediction accuracy but required more extensive data pre-processing compared to models using reflectance or VIs alone. …”
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Problem of the waste formation and disposal on the railways by L. B. Kairullina, N. L. Mamaeva

“…This period sees total landfill volumes tend to decrease, likely due to less use of highly hazardous goods, more installations for the safe processing of industrial waste, and measures to increase waste recycling.Discussion and conclusion. …”
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A blockchain based deep learning framework for a smart learning environment by Shimaa Ouf, Soha Ahmed, Yehia Helmy

“…Many educational institutions shifted to depend on the smart learning process but expressed concern about this solution due to its various challenges in securing the learning process and learners’ data. …”
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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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Farm-to-fork changes in poultry microbiomes and resistomes in Maputo City, Mozambique by Natalie Olson, Frederica Lamar, Hermógenes Mucache, José Fafetine, Joaquim Saíde, Amélia Milisse, Denise R. A. Brito, Kelsey J. Jesser, Karen Levy, Matthew C. Freeman, Maya L. Nadimpalli

“…ABSTRACT Increasing demand for poultry has spurred poultry production in low- and middle-income countries like Mozambique. Poultry may be an important source of foodborne, antimicrobial-resistant bacteria to consumers in settings with limited water, sanitation, and hygiene infrastructure. …”
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Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

“…1- Introduction Dust storm is considered as one of the most important challenges in the west of Asia which has been intensified in recent decades due to various reasons like drought. These storms move a huge amount of soil particles causing severe economic, social and health damages. …”
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