Search Results - research algorithm

A Systematic Literature Review of Machine Learning-Based Personality Trait Detection Using Electroencephalographic Data by Celina Rieck, Pascal Penava, Ricardo Buettner

“…The integration of machine and deep learning algorithms has improved automated trait classification but the comparative reliability of these approaches remains unclear. …”
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Unveiling the art of video enhancement: a comprehensive examination of content selection and sequencing for optimal quality in conventional and AR/VR environments by Mehrunnisa, Mikolaj Leszczuk, Dawid Juszka

“…Integrating machine learning algorithms into data sets alongside scenario-based criteria can be an essential solution to such problems. …”
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Comparing Machine Learning-Based Crime Hotspots Versus Police Districts: What’s the Best Approach for Crime Forecasting? by Eugenio Cesario, Paolo Lindia, Andrea Vinci

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Enhancing SQL Learning: Gamified tutorials and flipped classroom synergy by Sandor Kiraly, Tamas Balla, Dora Kiraly, Geoffrey Vaughan

“…Teaching students to think algorithmically is a common goal for school educators; however, SQL's declarative nature demands a distinct approach to problem-solving. …”
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution by Ahmed A. Al-Saedi, Veselka Boeva

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Efficient IDS for IoT Networks Using Host-Based Data Aggregation and Multi-Entropy Analysis by Yusei Katsura, Arata Endo, Ismail Arai, Kazutoshi Fujikawa

“…Against this backdrop, research on Intrusion Detection Systems (IDSs) leveraging machine learning in IoT environments has been actively conducted. …”
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A study of the properties of the tectonic structure of the Kryvyi Rih city based on statistical analysis of seismicity by С.В. Щербина, П.Г. Пігулевський, І.Ю. Гурова, Т.А. Амашукелі, Л.О. Шумлянська, О.А. Калініченко, І.А. Калітова, Д.В. Малицький, В.Г. Нікулін, С.Т. Вербицький

“…The proposed methods and algorithms open new opportunities for modern geophysical research in the long-term seismic hazard assessment of Kryvyi Rih. …”
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TECIS-CASNet: atmospheric hierarchy identification and application of the terrestrial ecosystem carbon inventory satellite by Jiaqi Yao, Hui Lu, Nan Xu, Guoyuan Li, Xinming Tang, Chen Ma, Zhao Liu, Qingkai Lu, Haobin Xia, Huichao Xin, Jiarui Wu, Taixia Wu

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Artificial intelligence applications in the management of musculoskeletal disorders of the shoulder: A systematic review by Umile Giuseppe Longo, Martina Marino, Guido Nicodemi, Matteo Giuseppe Pisani, Jacob F. Oeding, Christophe Ley, Rocco Papalia, Kristian Samuelsson

“…Studies had to evaluate AI model effectiveness for inclusion. Research on healthcare cost predictions, deterministic algorithms, patient satisfaction, protocol studies and upper‐extremity fractures not involving the shoulder were excluded. …”
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Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury. by Tianbao Feng, Jiating Hu, Mi Xie, Guodong Shi, Qi Wang, Jingyuan Yao, Xiaoqin Liu

“…Additionally, a protein-protein interaction (PPI) network was established to identify hub genes, and 8 machine learning algorithms were used to narrowed down hub genes. BMX and CASP5 were consistently identified across all algorithms. …”
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Unraveling deep-learning detection of atmospheric Kármán vortex streets: dataset, baseline benchmarking, and optimization by Yihan Zhang, Chaoyue Wu, Qiao Su, Yuqi Zhang, Daoyi Chen

“…Different types of advanced algorithms were applied on the dataset, yielding baseline performance metrics and potential detection methods. …”
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A Review of the Performance of Smart Lawnmower Development: Theoretical and Practical Implications by Elwin Nesan Selvanesan, Kia Wai Liew, Chai Hua Tay, Jian Ai Yeow, Yu Jin Ng, Peng Lean Chong, Chun Quan Kang

“…Future research directions are discussed, both in the short and long term, to further optimize smart lawnmower performance. …”
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A Review on Glaucoma Disease Detection Using Computerized Techniques by Faizan Daud, Rakhshanda Imtiaz, Hussain Ahmad Madni, Haroon Ahmed Khan, Tariq M. Khan, Mohammad A. U. Khan, Syed Saud Naqvi

“…Readers would be able to understand the challenges glaucoma presents from an image processing and machine learning stand-point and will be able to identify gaps in current research.…”
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Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance by Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant

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The Monitoring Analysis for the Drought in China by Using an Improved MPI Method by Ke-biao MAO, Ying MA, Lang XIA, Hua-jun TANG, Li-juan HAN

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Castleman Disease: Insights from a Case Series and Literature Review by Jerin James, Sanudev Sadanandan Vadakke Puthiyottil, Johan George, Arathi Edayattil, Vivek Mathew James, Swapna Dominic, Supriya N. K.

“…By integrating clinical experiences with literature, it advocates for refined diagnostic criteria and context-specific therapeutic algorithms, urging further research to address gaps in managing this complex disease.…”
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Continuum Robots: Current Trends in Design, Control, and Applications by Marina Kalekeyeva, Zarina Konakbay, Meiramgul Imanbekova, Aliya Shakbutova, Olga Garmash, Gulzhan Muratbekova, Doszhan Mambetalin

“…The presence of a multi-segmented and malleable structure makes continuum robot (CR) promising for use in medicine, industry, space, and deep-sea research. This trend encourages researchers worldwide to create fundamentally new types of continuously deformable CR structures suitable for various applications and delicate manipulations. …”
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Enhancing decision-making on detractor-causing failures: an approach combining data mining and machine learning by Yuri A. V. da Silva, Geraldo Cardoso de Oliveira Neto, Gustavo Lima, Sidnei A. de Araújo, Rodrigo Neri Bueno da Silva, Francisco Elanio Bezerra, Marlene Amorim

“…The proposed approach employs Decision Tree (DT) algorithms to uncover patterns linked to service failures. …”
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Adopting TOGAF Framework for Sustainable and Scalable Robusta Coffee Leaf Rust Management by Thein Oak Kyaw Zaw, Kalaiarasi Sonai Muthu Anbananthen, Saravanan Muthaiyah, Baarathi Balasubramaniam, Suraya Mohammad, Yunus Yusoff, Khairul Shafee Kalid

“…The framework leverages enterprise architecture principles to integrate learning algorithms, image detection, and systematic plantation mapping within a structured approach that enhances data organization, rust severity visualization, and predictive analysis. …”
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A Pilot Study: Sleep and Activity Monitoring of Newborn Infants by GRU-Stack-Based Model Using Video Actigraphy and Pulse Rate Variability Features by Ádám Nagy, Zita Lilla Róka, Imre Jánoki, Máté Siket, Péter Földesy, Judit Varga, Miklós Szabó, Ákos Zarándy

“…While vital signs are routinely monitored, the previously mentioned assessments require labor-intensive direct observation. Research so far has already introduced non- and minimally invasive solutions. …”
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