Falling Detection of Toddlers Based on Improved YOLOv8 Models by Ziqian Yang, Baiyu Tsui, Jiachuan Ning, Zhihui Wu

“…The spatial location is compared to the preceding stage’s two centers of mass points, K for the toddler’s body and H for the head. Position status detection is performed on the extracted data. We gathered 230 RGB-captured daily videos of toddlers aged 13 to 30 months playing and experiencing upside-down falls. …”
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BERT ensemble based MBR framework for android malware detection by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, Noor Zaman Jhanjhi

“…By using ensemble methods on static data, the MBR framework not only provides a reliable malware detection solution but also presents a novel strategy. …”
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Overcoming Fairness and Latency Challenges in BBR With an Adaptive Delay Detection by Zewei Han, Go Hasegawa

“…In 2016, Google introduced a new congestion control algorithm called Bottleneck Bandwidth and Round-trip propagation time (BBR). BBR aims to set the data-sending rate of flows to operate at an optimal operating point—maximizing throughput, minimizing delay, and reducing packet loss. …”
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Impact of Lexical Features on Answer Detection Model in Discussion Forums by Atif Khan, Muhammad Adnan Gul, Abdullah Alharbi, M. Irfan Uddin, Shaukat Ali, Bader Alouffi

“…Online forums have become the main source of knowledge over the Internet as data are constantly flooded into them. In most cases, a question in a web forum receives several responses, making it impossible for the question poster to obtain the most suitable answer. …”
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The characterization of the collimated beams of fast neutrons with the clid detection system by Martin Ansorge, Jan Novák, Mitja Majerle, Ján Kozic

“…The main objective of the Chamber-for-Light-Ion-Detection (CLID) is to produce new differential nuclear data of high interest for the material applications related to fusion and aerospace technologies and to potentially test and validate models of nuclear reactions. …”
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Surface Ice Detection Using Hyperspectral Imaging and Machine Learning by Steve Vanlanduit, Arnaud De Vooght, Thomas De Kerf

“…Hyperspectral reflectance data were acquired using a push-broom HSI system under controlled laboratory conditions, with ice and rime ice generated using a thermoelectric cooling setup. …”
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Enhancing Student Management Through Hybrid Machine Learning and Rough Set Models: A Framework for Positive Learning Environments by Ateeq Ur Rehman Butt, Hamid Ali, Muhammad Asif, Hessa Alfraihi, Mohamad Khairi Ishak, Khalid Ammar

“…The model combines classification algorithms with rough set-based decision rules to analyze complex student data, including academic performance, behavior patterns, and levels of engagement. …”
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Food Waste Detection in Canteen Plates Using YOLOv11 by João Ferreira, Paulino Cerqueira, Jorge Ribeiro

“…To evaluate the performance of the model, we used a real dataset as well as three benchmarking datasets with food plates, in which it could be detected waste. For the real dataset, the system achieved a mean average precision (mAP) of 0.343, a precision of 0.62, and a recall of 0.322 on the test set as well as demonstrating high accuracy in classifying waste considering the traditional evaluation metrics on the benchmarking datasets. …”
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Temporal variation in the detection of endangered birds in the Northern Atlantic Forest by Diego M. Lima, Antônio E.B. Alves de Sousa, Helder F. Pereira de Araujo

“…Considering the complete set of species studied, detection correlated negatively with rainfall, with a decrease in detection of bird species two months before the onset of the rainy season, between February and June. …”
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Sysmon event logs for machine learning-based malware detection by Riki Mi’roj Achmad, Dyah Putri Nariswari, Baskoro Adi Pratomo, Hudan Studiawan

“…Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods. …”
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Ensemble Voting for Enhanced Robustness in DarkNet Traffic Detection by Varun Shinde, Kartik Singhal, Ahmad Almogren, Vineet Dhanawat, Vishal Karande, Ateeq Ur Rehman

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A hybrid model for detecting motion artifacts in ballistocardiogram signals by Yuelong Jiang, Han Zhang, Qizheng Zeng

“…The data used for this study were collected from patients with sleep apnea using piezoelectric sensors, and the model’s performance was evaluated using a set of predefined metrics. …”
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Enhancing Anomaly Detection Performance: Deep Learning Models Evaluation by Yunusa Mohammed Jeddah, Aisha Hassan Abdalla Hashim, Othman Omran Khalifa, Khmaies Ouhada

“…Berbeza dengan model canggih lain seperti DenseNet121 dan ResNet50, InceptionV3 mempunyai ketepatan dan kebolehsuaian yang tinggi dalam mengendalikan kebolehubahan yang terdapat dalam set data anomali video. Kajian ini menyumbang kepada peningkatan keselamatan dengan memberi gabungan pengoptimum bersama model yang dipertingkatkan, memajukan pendekatan pengawasan video dan menyediakan sokongan bagi pembangunan sistem pengesanan anomali yang teguh. …”
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Nursing Students’ Computer Self-Efficacy and Attitudes toward Its Use in The Health Care Setting: A Comparative Study by Farida M. Hassona, Aziza Z. F. Ali, Shaimaa M. Nageeb

“…A structured self-administered questionnaire covering sociodemographic data, the pretest for attitudes toward computers in healthcare, and computer self-efficacy scales were the tool used to collect the study data.  …”
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Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model by Gee-Sern Jison Hsu, Jie Syuan Wu, Yin-Kai Dean Huang, Chun-Chieh Chiu, Jiunn-Horng Kang

“…Participants lifted boxes of varying sizes and weights while their movements were recorded from multiple angles and heights to ensure comprehensive data capture. We used the OpenPose algorithm to detect and extract key body points to calculate relevant biomechanical features. …”
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BlueEdge: application design for big data cleaning processing using mobile edge computing environments by Nagwa Elmobark, Haitham El-ghareeb, Sara Elhishi

“…Abstract With the rapid growth of the Internet of Things (IoT) and the emergence of big data, handling massive amounts of data has become a major challenge. …”
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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…We present an advanced method for deepfake voice detection, leveraging a custom model named MFCC-GNB XtractNet. …”
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Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. Most traditional Network-based Intrusion Detection Systems (NIDS) can become weak at detecting new patterns of attacks due to the use of obsolete data or traditional machine learning models. …”
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Antimicrobial activity of copper-nickel coated door handles: a blinded, randomized controlled study in a clinical setting by Idelevich, Evgeny A., Schlattmann, Andreas, Sauerland, Cristina, Gebert, Carsten, Becker, Karsten

“…Methods: A pilot study was set up in a blinded, randomized controlled design to elucidate the antimicrobial activity of door handles coated with a copper-nickel alloy. …”
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Genomic dynamics of high-risk carbapenem-resistant Klebsiella pneumoniae clones carrying hypervirulence determinants in Egyptian clinical settings by Nehal Adel Abdelsalam, Shahira A. ElBanna, Shaimaa F. Mouftah, José F. Cobo-Díaz, Ahmed H. Shata, Sherine M. Shawky, Reham Atteya, Mohamed Elhadidy

“…The most prevalent carbapenemase genes detected within the isolates were bla NDM−5 and bla OXA−48 . …”
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