CRISPR-FOCUS: A web server for designing focused CRISPR screening experiments. by Qingyi Cao, Jian Ma, Chen-Hao Chen, Han Xu, Zhi Chen, Wei Li, X Shirley Liu

“…Although many computational algorithms and web servers have been developed to design single-guide RNAs (sgRNAs) with high specificity and efficiency, algorithms specifically designed for conducting CRISPR screens are still lacking. …”
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Computational models based on machine learning and validation for predicting ionic liquids viscosity in mixtures by Bader Huwaimel, Jowaher Alanazi, Muteb Alanazi, Tareq Nafea Alharby, Farhan Alshammari

“…These algorithms include Random Forest (RF), Gradient Boosting (GB), and XGBoost (XGB). …”
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Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption by Retno Wahyusari, Sunardi Sunardi, Abdul Fadlil

“…Data pre-processing, specifically min-max normalization, is crucial for improving the accuracy of distance-based algorithms like KNN. Decision tree-based algorithms like RF and CatBoost are less sensitive to data normalization. …”
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Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals by Bo Zhu, Tao Geng, Gedong Jiang, Zheng Guan, Yang Li, Xialun Yun

“…Material perception is one of the several essential abilities required by robots, and it also poses significant challenges in real-world field applications. …”
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A shape-controlled non-symmetric quaternary refinement scheme by Pakeeza Ashraf, Samra Younus, Amna Kalsoom, Jihad Younas

“…Abstract The interpolating and approximating refinement schemes are well-studied algorithms to generate smooth curves and surfaces. In this paper, we propose a novel non-symmetric refinement scheme that combines the strengths of interpolating and approximating refinement algorithms. …”
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Regional Logistics Network Design in Mitigating Truck Flow-Caused Congestion Problems by Mi Gan, Xinyuan Li, Fadong Zhang, Zhenggang He

“…We model the RLN design problem as a minimal cost problem and design double-layer Lagrangian relaxation heuristics algorithms to solve the model problems. Through experiments with data from the six-node problem and Sioux-Falls network, the effectiveness of the models and algorithms is verified. …”
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Privacy-Preserving SGD on Shuffle Model by Lingjie Zhang, Hai Zhang

“…In this paper, we consider an exceptional study of differentially private stochastic gradient descent (SGD) algorithms in the stochastic convex optimization (SCO). …”
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A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

“…Also, the accuracy, recall, precision, and F1-score metrics are utilized to evaluate the model. …”
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Classification of Biological Data using Deep Learning Technique by Azha Javed, Muhammad Javed Iqbal

“…Recently machine learning algorithms got huge attention and are widely used. These algorithms are based on deep learning architecture and data-driven models. …”
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Machine Learning Approaches to Code Similarity Measurement: A Systematic Review by Zixian Zhang, Takfarinas Saber

“…Through this comprehensive analysis, the paper not only synthesizes existing research but also identifies prevailing limitations and challenges, shedding light on potential avenues for future work.…”
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Artificial intelligence and criminal liability in India: exploring legal implications and challenges by Hifajatali Sayyed

“…Criminals can exploit AI algorithms to harvest and misuse personal data, necessitating robust data protection laws to safeguard individuals’ privacy rights. …”
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Solutions to face and combat disinformation: proposals in scientific literature from the web of science by Jônatas Edison da Silva, Enrique Muriel-Torrado

“…Next, there are media and communications, platforms and algorithms, science and the scientific community, and, finally, others. …”
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Chapter 5: Network biology approach to complex diseases. by Dong-Yeon Cho, Yoo-Ah Kim, Teresa M Przytycka

“…An interaction network not only reports the binary relationships between individual nodes but also encodes hidden higher level organization of cellular communication. …”
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Combining Physical and Network Data for Attack Detection in Water Distribution Networks by Côme Frappé - - Vialatoux, Pierre Parrend

“…Machine learning detection algorithms, which are showing encouraging results in cybersecurity applications, are leveraging the increasing number of datasets published in the water distribution community for better attack detection. …”
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The Complex Approach of the C-lightVer System to the Automated Error Localization in C-programs by Dmitry A. Kondratyev, Alexei V. Promsky

“…Modifications of these algorithms are presented in the article. They allow marking rep definition with semantic labels, extracting semantic labels from rep definition and generating description of break execution condition.…”
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The resource theory of tensor networks by Matthias Christandl, Vladimir Lysikov, Vincent Steffan, Albert H. Werner, Freek Witteveen

“…We show that there are transformations between entanglement structures which go beyond edge-by-edge conversions, highlighting efficiency gains of our resource theory that mirror those obtained in the search for better matrix multiplication algorithms. We also provide obstructions to the existence of such transformations by extending a variety of methods originally developed in algebraic complexity theory for obtaining complexity lower bounds. …”
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Quantum key distribution through quantum machine learning: a research review by Krupa Purohit, Ajay Kumar Vyas

“…This also allows them to increase efficiency because it identifies trends in errors and applies corrections, making quantum cryptography a more dependable option. …”
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Breast Cancer Identification from Patients’ Tweet Streaming Using Machine Learning Solution on Spark by Nahla F. Omran, Sara F. Abd-el Ghany, Hager Saleh, Ayman Nabil

“…Two feature selection algorithms are recursive feature elimination and univariate feature selection algorithms which are applied to features after correlation to select the essential features. …”
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Cascaded Multilevel Inverters with Reduced Structures Based on a Recently Proposed Basic Units: Implementing a 147-level Inverter by M. J. Mojibian, M. Tavakoli Bina, B. Eskandari

“…The topologyis analysed for both symmetric and asymmetric DC source configurations. Also, two algorithms forasymmetric source configuration suitable for cascaded structures are proposed. …”
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Quality assessment of chicken using machine learning and electronic nose by Hassan Anwar, Talha Anwar

“…To evaluate the performance of the machine learning algorithms, different data splitting approaches were tested to understand their impact on model accuracy. …”
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