Utilization of Deep Learning YOLO V9 for Identification and Classification of Toraja Buffalo Breeds by Abdul Rachman Manga', Herawati Herawati, Purnawansyah Purnawansyah

“…Future research is recommended to explore broader datasets, compare alternative object detection algorithms, and develop an integrated application for practical field use.…”
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Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care. by Youli Jiang, Ao Li, Zhihuan Li, Yanfeng Li, Rong Li, Qingshi Zhao, Guisu Li

“…Predictive models were developed using machine learning algorithms, including Gradient Boosting Machine (GBM), Random Forest (RF), and Logistic Regression (LR). …”
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Neo-antigen specific cancer vaccines for acute lymphoblastic leukemia—challenges, opportunities, and future directions by Victoria Bloch Blytt Sandstad, Signe Modvig, Morten Orebo Holmström

“…Thus, we envisage that neo-antigen specific therapeutic cancer vaccines could pose an important modality in future treatment algorithms for ALL.…”
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Digital Twin: A Step Towards Smart Cities in Urban Planning, Design and Management by Farshad Shariatpour, Mostafa Behzadfar

“…To achieve this, procedural modelling algorithms have been used in the CityEngine software environment. …”
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Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control. by Higor Souza Cunha, Brenda Santana Sclauser, Pedro Fonseca Wildemberg, Eduardo Augusto Militão Fernandes, Jefersson Alex Dos Santos, Mariana de Oliveira Lage, Camila Lorenz, Gerson Laurindo Barbosa, José Alberto Quintanilha, Francisco Chiaravalloti-Neto

“…With mosaics of images obtained by a 12.1 MP Canon PowerShot S100 (5.2 mm focal length) carried by unmanned aerial vehicles, we developed deep learning algorithms in the scope of computer vision for the detection of water tanks and swimming pools. …”
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Memristor-Based Artificial Neural Networks for Hardware Neuromorphic Computing by Boyan Jin, Zhenlong Wang, Tianyu Wang, Jialin Meng

“…Our review further examines key mechanisms such as synaptic plasticity, encompassing both long-term potentiation and depression, as well as emerging learning algorithms that leverage memristive behavior. Finally, we identify current challenges, such as achieving ultra-low power consumption, high device uniformity, and seamless system integration, and propose future directions in materials science, device engineering, system integration, and industrialization. …”
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Maximizing YOLOv2 efficiency: A study on multiclass detection of indoor objects by G Divya Deepak, Subraya Krishna Bhat

“…Therefore, it is crucial for object detection algorithms to incorporate optimized parameters to maximize efficiency, particularly in multiclass detection scenarios with substantial class and object size imbalances, as demonstrated in this work. …”
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Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions by Feras Alafer

“…However, high costs, algorithmic biases, data security risks, and the lack of standardized forensic imaging protocols present significant challenges. …”
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Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

“…This research evaluates various ML algorithms, including Support Vector Machines, Decision Trees, and Random Forests, to identify the most effective approach for congestion detection. …”
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ASSESSMENT OF TRANSMISSION EFFECTS BETWEEN “CORRUPTION-DIGITIZATION-ECONOMIC GROWTH” by Adriana Surovičová, Victoria Bozhenko, Anton Boyko, K.Yu. Petrenko

“… The last decade has seen the rapid development of digital information technology, the intellectualization of control systems, the increase in the number and capacity of mobile and computer devices, and the accumulation of large amounts of data and its processing through machine learning algorithms, which inevitably leads to new opportunities for economic development. …”
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Optimizing Stroke Classification with Pre-Trained Deep Learning Models by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

“…Methods: The study utilized advanced deep learning algorithms, specifically ConvNeXt Base, to analyze large datasets of medical imaging data, focusing on MRI scans. …”
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Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques by Mohammed Tareq Mutar, Jaffar Nouri Alalsaidissa, Mustafa Majid Hameed, Ali Almothaffar

“…BACKGROUND: Deep learning’s role in blood film screening is expanding, with recent advancements including algorithms for the automated detection of sickle cell anemia, malaria, and leukemia using smartphone images. …”
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Concepts of Work: from Traditional Social-Labor Ideas to Modern Effects of Digital Transformation by Zs. Riczu, G. Melypataki, D. A. Mate

“…It introduces new areas and sub-disciplines including administrative criminology based upon actuarial justice and risk management/assessment theory, cyber criminology and cyber victimology, as two sub-disciplines of the new century, and algorithmic or computational criminology, as one of the latest area in criminal sciences, which all are influenced by digitalization and technology.Results: authors concluded that due to the digitalization atypical work emerges but legislator defines the scope of work regulated by law and that makes atypical work relationship becomes a typical work relationship. …”
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Prevalence and risk of bone fractures in patients with chronic pancreatitis: meta-analysis by D. N. Andreev, I. V. Maev, Yu. A. Kucheryavyy

“…Considering this association, it is advisable to include densitometry in the routine examination algorithms for patients with chronic pancreatitis, as well as to correct osteoporosis in this category of patients in time.…”
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Evaluation of a Polarimetric Contrast Enhancement Technique as Preprocessing Step for Vessel Detection in SAR Images: Comparison of Frequency Bands and Polarimetric Modes by Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez

“…Over the years, numerous automatic ship detection algorithms have been developed, utilizing either single-polarimetric data (i.e., intensity) or leveraging additional information provided by polarimetric sensors. …”
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Drivers’ Information and Practical Training Assessment Results Management System: A Recommendation for NIT by Deogratias Tasilo Mahuwi, Christopher Denis Ntyangiri, Isaya Mathew Mwansasu, Lydia Thomas Kamugisha

“…The study has recommended algorithms in some crucial aspects of the drivers’ trainings that could be used to improve the standard of the drivers’ training processes which could ultimately contribute to the reduction of RTAs and RTIs in Tanzania and globally. …”
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Identification and experimental verification of biomarkers related to butyrate metabolism in osteoarthritis by Yi Zhang, Youliang Shen, Dewei Kou, Tengbo Yu

“…Six candidate biomarkers (IL1B, IGF1, CXCL8, PTGS2, SERPINE1, MMP9) were identified through two machine-learning algorithms. IL1B, CXCL8, and PTGS2 were upregulated in controls, exhibiting consistent patterns across validation datasets. …”
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Diversity of rotavirus strains causing diarrhea in <5 years old Chinese children: a systematic review. by Yue Li, Song-Mei Wang, Shan-Shan Zhen, Ying Chen, Wei Deng, Paul E Kilgore, Xuan-Yi Wang

“…<h4>Methods and findings</h4>Studies of rotavirus-based diarrhea among children less than 5 years, published in English or Chinese between 1994 and 2012, were searched in PubMed, SinoMed, and CNKI and reviewed by applying standardized algorithms. The temporal and spatial trends of genotyping and serotyping were analyzed using a random-effects model. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…In contrast, advanced machine learning algorithms offer a data-driven alternative. We designed and implemented the V-STAR application (Volcanic Satellite Thermal Anomalies Recognition) on Google Earth Engine (GEE) to leverage cloud computing for processing large geospatial datasets in real time. …”
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Balancing Ethics and Privacy in the Use of Artificial Intelligence in Institutions of Higher Learning: A Framework for Responsive AI Systems by Belinda Ndlovu, Kudakwashe Maguraushe

“…These concerns include issues such as intrusive data collection, algorithmic bias, threats to student autonomy, and unequal access to AI-enhanced learning. …”
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