ELECTRONIC BANKING AND PERFORMANCE OF BANKING SECTOR IN NIGERIA by Kayode David KOLAWOLE

“…The study's findings also showed that, at the 5% significant level, automated teller machines have an effect on the net interest revenue of deposit money institutions in Nigeria, with a coefficient value of 0.0063. …”
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Digitize-HCD: A dataset for digitization of handwritten circuit diagramsMendeley Data by Nadim Ahmed, Mirza Fuad Adnan, Ahmad Shafiullah, Hayder Jahan Parash, Md. Saifur Rahman, Irfan Chowdhury Akib, Golam Sarowar

“…While significant effort has been made to digitize handwritten content in other engineering domains, the digitization of handwritten circuit diagrams remains underexplored. Automating this process would enable the development of tools capable of converting handwritten circuit diagrams into machine-readable formats that can be instantly interpreted by circuit simulation software. …”
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A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography by Roseline Oluwaseun Ogundokun, Oluwakemi Christiana Abikoye

“…Authentication of a diagnostic image obtained from a specialist at a remote location which is from the sender is one of the most challenging tasks in an automated healthcare setup. Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. …”
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PharmRL: pharmacophore elucidation with deep geometric reinforcement learning by Rishal Aggarwal, David R. Koes

“…Conclusions PharmRL addresses the need for automated methods in pharmacophore design, particularly in cases where a cognate ligand is unavailable. …”
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Leveraging a time-series event separation method to disentangle time-varying hydrologic controls on streamflow – application to wildfire-affected catchments by H. A. Canham, B. Lane, C. B. Phillips, B. P. Murphy

“…To accomplish this, we developed the Rainfall–Runoff Event Detection and Identification (RREDI) toolkit, an automated time-series event separation and attribution algorithm that overcomes several limitations of existing techniques. …”
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Prediction models for cognitive impairment in middle-aged patients with cerebral small vessel disease by Wei Zheng, Xiaoyan Qin, Ronghua Mu, Peng Yang, Bingqin Huang, Bingqin Huang, Zhixuan Song, Xiqi Zhu, Xiqi Zhu

“…An Unet-based deep learning neural network model was developed to automate the segmentation of the hippocampus. Features were extracted for each subject, and the least absolute shrinkage and selection operator (LASSO) method was used to select radiomic features. …”
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Evaluating IgG Levels, Vaccination Effects, and COVID-19 Infection Severity in Renal Transplant Recipients by Zana Mohammed, Awny Jafar Ahmed, Majeed Hussein Mustafa, Domiana Shamoon Warda, Masood Ahmed Hameed, Nawfal R. Hussein

“…In this cross-sectional study, IgG levels was measured in renal transplant recipients using automated benchtop immunoanalyzer Vidas at the Duhok Center for Kidney Disease and Transplantation. …”
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Transforming education with AI: A systematic review of ChatGPT's role in learning, academic practices, and institutional adoption by Sayeed Salih, Omayma Husain, Mosab Hamdan, Samah Abdelsalam, Hashim Elshafie, Abdelwahed Motwakel

“…The integration of AI tools like ChatGPT into education has generated significant interest due to their potential to transform learning environments by providing personalized learning, automating tasks, and improving student engagement. …”
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Security Evaluation of Provably Secure ECC-Based Anonymous Authentication and Key Agreement Scheme for IoT by Kisung Park, Myeonghyun Kim, Youngho Park

“…We prove our findings using the automated validation of internet security protocols and applications, a widely recognized formal verification tool. …”
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Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study by Junko Kurita, Motomi Hori, Sumiyo Yamaguchi, Aiko Ogiwara, Yurina Saito, Minako Sugiyama, Asami Sunadori, Tomoko Hayashi, Akane Hara, Yukari Kawana, Youichi Itoi, Tamie Sugawara, Yoshiyuki Sugishita, Fujiko Irie, Naomi Sakurai

“…MethodsThis study assessed the use by public health centers of the detection mode of an automated AI detection system (ie, FESSy AI), as well as manual detection by the public health centers’ staff (ie, FESSy staff) and direct reporting by facilities to the public health centers. …”
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A Review of Synthesis Techniques for Phased Antenna Arrays in Wireless Communications and Remote Sensing by Stanislav Ogurtsov, Diego Caratelli, Zhe Song

“…Therefore, there is a need for reliable yet fast automated computer-aided design (CAD) and synthesis tools that can support the development of 5G antenna array solutions, from the initial prototyping stage to the final manufacturing tolerance analysis. …”
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TockyPrep: data preprocessing methods for flow cytometric fluorescent timer analysis by Masahiro Ono

“…Results: In this study, we introduce the R package that automates the data preprocessing of Timer fluorescence data from flow cytometry experiments for quantitative analysis at single-cell level. …”
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Mid-infrared spectra of dried and roasted cocoa (Theobroma cacao L.): A dataset for machine learning-based classification of cocoa varieties and prediction of theobromine and caffe... by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…The tools developed from this dataset could significantly advance automated processes in the cocoa industry and support decision-making on an industrial scale, facilitating real-time quality control of cocoa-based products, improving cocoa variety classification, and optimizing bean selection, blending strategies, and product formulation, while reducing the need for labor-intensive and costly quantification methods. …”
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Effect of Depth Band Replacement on Red, Green and Blue Image for Deep Learning Weed Detection by Jan Vandrol, Janis Perren, Adrian Koller

“…Automated agricultural robots are becoming more common with the decreased cost of sensor devices and increased computational capabilities of single-board computers. …”
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PlantAIM: A new baseline model integrating global attention and local features for enhanced plant disease identification by Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, Hervé Goëau, Pierre Bonnet, Alexis Joly

“…Conventionally, detection has relied on plant pathologists, but recent advances in deep learning, particularly the Vision Transformer (ViT) and Convolutional Neural Network (CNN), have made it feasible for automated plant disease identification. Despite their prominence, there are still significant gaps in our understanding of how these models differ in feature extraction and representation, particularly in complex multi-crop disease identification tasks. …”
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LIFEPLAN: A worldwide biodiversity sampling design. by Bess Hardwick, Deirdre Kerdraon, Hanna M K Rogers, Dimby Raharinjanahary, Eric Tsiriniaina Rajoelison, Tommi Mononen, Petteri Lehikoinen, Gaia Banelyte, Arielle Farrell, Brian L Fisher, Tomas Roslin, Otso Ovaskainen

“…As the technology for mass identification of species is advancing rapidly, we developed a field sampling method that takes advantage of the emerging possibilities of combining sensor-based data with automated high-throughput data processing. This article describes the five field sampling methods used by the LIFEPLAN project to collect biodiversity data in a systematic manner, all over the world. …”
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Research on tire tread abrasion performance considering the patten and slippage with verification by Huaqiao Liu, Yao Xiao, Kongshuo Wang, Yukun Zhou, Huiguang Bian, Chuansheng Wang

“…Subsequent wear performance tests were conducted on a fully automated wear testing machine under different slippage. …”
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DLCDroid an android apps analysis framework to analyse the dynamically loaded code by Rati Bhan, Rajendra Pamula, K Susheel Kumar, Nand Kumar Jyotish, Prasun Chandra Tripathi, Parvez Faruki, Jyoti Gajrani

“…Furthermore, we enhance DLCDroid’s functionality by integrating it with an event-based trigger solution, making the framework more scalable and fully automated in its analysis process.…”
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Distinguishing Reality from AI: Approaches for Detecting Synthetic Content by David Ghiurău, Daniela Elena Popescu

“…Ethical concerns, such as privacy violations, algorithmic bias, false positives, and overreliance on automated systems, are also critically discussed. Furthermore, the paper addresses legal and regulatory frameworks, including intellectual property challenges and emerging legislation, emphasizing the need for robust governance to mitigate misuse. …”
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POMA-C: A Framework for Solving the Problem of Precise Anesthesia Control Under Incomplete Observation Environment in Low-Income Areas by Yide Yu, Huijie Li, Dennis Wong, Anmin Hu, Jian Huo, Yan Ma, Yue Liu

“…This work not only provides a robust solution for anesthesia control under incomplete observability but also bridges the gap between MDP and POMDP models, offering a foundation for future research in automated anesthesia management.…”
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