Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…From retail banking to investment firms, financial organizations are progressively implementing AI and ML technologies to improve decision-making and enhance the customer experience. Complex financial issues such as fraud detection, risk management, credit scoring and algorithmic trading can be addressed using devices like AI and ML. …”
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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…The study evaluated multiple ML models, including Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, Gradient Boosting (GB), and Neural Networks, using rigorous data pre-processing, feature selection, and validation techniques. Results indicate that Artificial Neural Networks (ANN) and GB consistently outperform traditional models, particularly in capturing non-linear relationships and complex interactions among predictive factors. …”
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Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting by Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi

“…The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain.   …”
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Gaseous hydrocarbons absorption by ILs: insights from artificial intelligence strategy by Reyhaneh Alborz, Mohammad Mahmoudnezhad, Alireza Baghban

“…Abstract Accurate prediction of hydrocarbon solubility in ionic liquids (ILs) is essential for optimizing solvent selection and designing efficient chemical processes in industries such as energy production and environmental remediation. …”
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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…By combining symbolic algorithms with graph-based models, this hybrid approach offers a more interpretable, efficient, and high-performing solution for complex NLP tasks.…”
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MG6D: A Deep Fusion Approach for 6D Pose Estimation With Mamba and Graph Convolution Network by Jiaqi Zhu, Bin Li, Xinhua Zhao

“…Accurate and efficient 6D pose estimation is a fundamental technology in many industrial applications. …”
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MICAAL: A Domain-Specific Language for Microservices in Ambient Assisted Living by Wilson Valdez Solis, Priscila Cedillo, Attila Kertesz

“…MICAAL empowers users to design modular, scalable systems by enabling the easy selection and deployment of microservices ensuring that IoT devices in AAL environments are efficiently supported and adaptable to changing needs. …”
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ECONOMIC AND MANAGEMENT ISSUES CONCERNING ARCHAEOLOGICAL SITES: COST ANALYSIS, STUDY OF TOURIST FLOWS AND SUSTAINABILITY PERSPECTIVES FOR THE ARCHAEOLOGICAL PARK OF POMPEII by Gabriel Zuchtriegel, Luigi Petti, Antonio Nesticò, Gabriella Maselli, Vincenzo Calvanese, Anna Onesti, Arianna Spinosa

“…The efficient allocation of the resources available to an archaeological park is particularly important in relation to excavation, restoration and conservation activities. …”
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Density estimation via binless multidimensional integration by Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo

“…The method is tested on a variety of complex synthetic high-dimensional datasets, where it is shown to outperform traditional estimators, and is benchmarked on realistic datasets from the chemical physics literature.…”
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A systematic review of factors influencing green public procurement in higher education institutions by Santosh Bhandari, Myriam Lopes, Sara Moreno Pires

“…Influencing factors related to the organization were the most complex. Furthermore, HEIs should prioritize GPP-related knowledge. …”
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Dense dynamic convolutional network for Bel canto vocal technique assessment by Zhenyi Hou, Xu Zhao, Shanggerile Jiang, Daijun Luo, Xinyu Sheng, Kaili Geng, Kejie Ye, Jiajing Xia, Yitao Zhang, Chenxi Ban, Jiaxing Chen, Yan Zou, Yuchao Feng, Xin Yuan, Guangyu Fan

“…Abstract The Bel Canto performance is a complex and multidimensional art form encompassing pitch, timbre, technique, and affective expression. …”
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Automated Icon Extraction from Tourism Maps: A Synergistic Approach Integrating YOLOv8x and SAM by Di Cao, Xinran Yan, Jingjing Li, Jiayao Li, Lili Wu

“…Nevertheless, the intricate shapes and dense distribution of symbols in tourist maps complicate the accurate and efficient detection and extraction using existing methods. …”
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Advances in Beneficiation Processes for Low-grade Bastnaesite-associated Fluorite Resources by Wei YANG, Hongqi TAN, Xiaohong XIA, Zhiyuan XIE, Yingjiang ZHU, Qiang GONG, Yue HU

“…In China, bastnaesite type fluorite resources are primarily formed in rare earth deposits such as the Bayan Obo and Maoniuping regions, characterized by "low-grade, fine-grained dissemination, and complex mineral paragenesis". Traditional separation technologies face challenges due to the similar floatability of rare earth minerals and fluorite, as well as the poor selectivity of conventional reagents. …”
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Papillary thyroid carcinoma whole-slide images as a basis for deep learning by M. V. Fridman, A. A. Kosareva, E. V. Snezhko, P. V. Kamlach, V. A. Kovalev

“…Authors discuss the second selection of signs for the marking of histological images, methodological approaches to dissect whole-slide images, how to prepare raw data for a future analysis. …”
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Swin-FSNet: A Frequency-Aware and Spatially Enhanced Network for Unpaved Road Extraction from UAV Remote Sensing Imagery by Jiwu Guan, Qingzhan Zhao, Wenzhong Tian, Xinxin Yao, Jingyang Li, Wei Li

“…However, unpaved roads often face challenges such as blurred boundaries, low contrast, complex shapes, and a lack of publicly available datasets. …”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle complex data patterns. …”
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CAEB7-UNet: An Attention-Based Deep Learning Framework for Automated Segmentation of C-Spine Vertebrae in CT Images by Abhishek Kumar Pandey, Kedarnath Senapati, G. P. Pateel

“…This study presents a novel channel attention-based EfficientNetB7-UNet (CAEB7-UNet) method to address this complex task effectively. …”
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Unbiased analysis of obesity related, fat depot specific changes of adipocyte volumes and numbers using light sheet fluorescence microscopy. by Natalie Theobalt, Isabel Hofmann, Sonja Fiedler, Simone Renner, Georg Dhom, Annette Feuchtinger, Axel Walch, Martin Hrabĕ de Angelis, Eckhard Wolf, Rüdiger Wanke, Andreas Blutke

“…LSFM allows for accurate and efficient determination of relevant quantitative morphological adipocyte parameters. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…Classification metrics (precision, recall, F1-score) highlight the model’s ability to disentangle complex spatiotemporal patterns in neurodegeneration. …”
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