Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…Complex financial issues such as fraud detection, risk management, credit scoring and algorithmic trading can be addressed using devices like AI and ML. …”
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Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India by Ramachandran Rajalakshmi, Thyparambil Aravindakshan PramodKumar, Ashis Kumar Dhara, Geetha Kumar, Naziya Gulnaaz, Shramana Dey, Sourav Basak, B Uma Shankar, Raka Goswami, Raja Mohammed, Suchetha Manikandan, Sushmita Mitra, Harsimran Thethi, Saravanan Jebarani, Sinnakaruppan Mathavan, Tamilselvi Sarveswaran, Ranjit Mohan Anjana, Viswanathan Mohan, Sambuddha Ghosh, Tushar Kanti Bera, Rajiv Raman

“…Given the critical nature of the disease, it is paramount that individuals with diabetes undergo annual screening for early and timely detection of DR, facilitating prompt ophthalmic assessment and intervention. …”
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BETASCAN: probable beta-amyloids identified by pairwise probabilistic analysis. by Allen W Bryan, Matthew Menke, Lenore J Cowen, Susan L Lindquist, Bonnie Berger

“…BETASCAN is able both to detect beta-strands with higher sensitivity and to detect the edges of beta-strands in a richly beta-like sequence. …”
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Enhancing Cloud Job Failure Prediction With a Novel Multilayer Voting-Based Framework by Ahmed Elkaradawy, Ayman Elshenawy, Hany Harb

“…Once the failed jobs are detected, the second layer takes over to determine the failure type employing the Random Forest algorithm. …”
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Germline variants of the MMR/EPCAM genes in Russian patients with Lynch syndrome by Aleksey S. Tsukanov, Aleksey A. Barinov, Vitaly P. Shubin, Anna N. Loginova, Dmitry Yu. Pikunov, Dmitry G. Shakhmatov, Yuri A. Shelygin, Sergey I. Achkasov

“…Thirteen (9.2%) of the detected variants were associated with large deletions/duplications. …”
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Confirmation of the reported association of clonal chromosomal mosaicism with an increased risk of incident hematologic cancer. by Ursula M Schick, Andrew McDavid, Paul K Crane, Noah Weston, Kelly Ehrlich, Katherine M Newton, Robert Wallace, Ebony Bookman, Tabitha Harrison, Aaron Aragaki, David R Crosslin, Sophia S Wang, Alex P Reiner, Rebecca D Jackson, Ulrike Peters, Eric B Larson, Gail P Jarvik, Christopher S Carlson

“…In an effort to confirm previous reports of an association between clonal mosaicism and incident hematologic cancer, we applied the anomDetectBAF algorithm to call chromosomal anomalies in genotype data from previously conducted Genome Wide Association Studies (GWAS). …”
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Use of ColonFlag score for prioritisation of endoscopy in colorectal cancer by A Wong, Ruth M Ayling, Finbarr Cotter

“…After 6 months, outcomes were evaluated and the performance of the faecal immunochemical test (FIT), faecal haemoglobin concentration, age and sex test (FAST) and the artificial intelligence algorithm ColonFlag were examined.Results 532 completed investigations and received a diagnosis; 15 had CRC. 388 had a valid FIT result, of whom 11 had CRC; FAST Score ≥4.5 had sensitivity of 72.7%, specificity of 80.6% and would have failed to detect three tumours. …”
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Modern conceptions of serological tumor markers and their role in oncology by N. S. Sergeeva, N. V. Marshutina, M. P. Solokhina, I. I. Alentov, N. K. Parilova, E. V. Zenkina, T. E. Skashchkova

“…Currently diagnostic indexes, obtained by the in vitro diagnostic multivariate index assay (IVDMIA), and algorithms using several serological markers begin to apply in laboratory practice to increase diagnostic accuracy. …”
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A Comprehensive Study of Recent Path-Planning Techniques in Dynamic Environments for Autonomous Robots by Nour AbuJabal, Mohammed Baziyad, Raouf Fareh, Brahim Brahmi, Tamer Rabie, Maamar Bettayeb

“…The review discusses the key trends, challenges, and gaps in current methods to emphasize the need for more efficient and robust algorithms that can handle complex and unpredictable dynamic environments. …”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…., sparse spike-driven operations and bio-plausible learning rules) for improving energy efficiency and performance, thereby enabling efficient CL algorithms (e.g., unsupervised learning approach) executed in dynamically-changed environments with resource-constrained computing systems. …”
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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…Six machine learning algorithms (random forest, k-nearest neighbor, decision tree, naive Bayes, logistic regression, and support vector machine) were applied to predict state-level opioid mortality risk based on linguistic features derived from Linguistic Inquiry and Word Count. …”
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Classification of Individuals With COVID-19 and Post–COVID-19 Condition and Healthy Controls Using Heart Rate Variability: Machine Learning Study With a Near–Real-Time Monitoring C... by Carlos Alberto Sanches, Andre Felipe Henriques Librantz, Luciana Maria Malosá Sampaio, Peterson Adriano Belan

“…Classification models were developed using supervised machine learning algorithms (decision tree, support vector machines, k-nearest neighbor, and neural networks) and evaluated through cross-validation. …”
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Provenance-Finding of Dust Storms Using AVHRR Sensor Images of NOAA Satellite (Case Study: Southwest of Iran) by Mohammad Hossein Rezaei Moghaddam, Mojtaba Mahdian Boruojeni

“…After preparing the images, in the processing stage, the particles were identified by applying the dust detection algorithms including brightness temperature differences in the thermal infrared bands (band 4&5 AVHRR sensor) and false color combination (R: 1 G: 2 B4). 3- Results and Discussion Detecting the images, a total of 62 origin points were extracted in the southwest of the country which were transferred to the GIS environment. …”
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Robotic Integration of Massage and Real-Time Tissue Assessment: A Technological Framework by Yizhong Zhang, Hui Zhang, Chen Qiu, Shaosong Xie, Min Tang, Yue-Guang Fan

“…Furthermore, machine learning algorithms are employed to classify materials with varying stiffness levels during finger rubbing actions. …”
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Application of Bivariate Reproducing Kernel-Based Best Interpolation Method in Electrical Tomography by Yongguang Tan, Jingqi Wang, Junqi Yu, Boqi Wu, Jinchao Shen, Xiangchen Guo

“…Electrical Tomography (ET) technology is widely used in multiphase flow detection due to its advantages of low cost, visualization, fast response, non-radiation, and non-invasiveness. …”
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Combating Antimicrobial Resistance: Spectroscopy Meets Machine Learning by Dimple Saikia, Ritam Dadhara, Cebajel Tanan, Prajwal Avati, Tushar Verma, Rishikesh Pandey, Surya Pratap Singh

“…Here, in this review, we have tried to illustrate how machine learning has been used with different spectroscopic analytical platforms—Raman spectroscopy (RS), Fourier-transform infrared spectroscopy (FTIR), and nuclear magnetic resonance (NMR)—to further accelerate the understanding and early detection of AMR. The combination of ML algorithms with advanced spectroscopic techniques delivers faster and deeper insights into the different mechanisms of bacterial resistance, delivering novel solutions.…”
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Positioning of Lightning Electromagnetic Radiation Sources With Satellite Constellations: Simulation and Preliminary Validation by Xiao Li, Zongxiang Li, Xiaoqiang Li, Xiong Zhang, Yunfen Chang, Kai Zhang, Yongli Wei, Baofeng Cao, Peng Li

“…Abstract Satellites, equipped with electromagnetic sensors, can detect and locate the lightning electromagnetic radiation sources (LERS) in the thunderstorm over the globe surface of the Earth, delivering data regarding occurrence time, geolocation, and intensity. …”
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Obstacle Feature Information-Based Motion Decision-Making Method for Obstacle-Crossing Motions in Lower Limb Exoskeleton Robots by Yuepeng Zhang, Guangzhong Cao, Jun Wu, Bo Gao, Linzhong Xia, Chen Lu, Hui Wang

“…A lower limb exoskeleton robot obstacle-crossing motion decision-making algorithm based on obstacle feature information is proposed by combining gait constraints and motion constraints, enabling it to select appropriate motion trajectories in the trajectory library. …”
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Research progress and prospect of key technologies of fruit target recognition for robotic fruit picking by Shaohua Liu, Jinlin Xue, Tianyu Zhang, Pengfei Lv, Huanhuan Qin, Tianxing Zhao

“…Then, we focus on the relevant contents of fruit target recognition methods based on deep learning, including the target recognition process, the preparation and classification of the dataset, and the research results of target recognition algorithms in classification, detection, segmentation, and compression acceleration of target recognition network models. …”
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A Recognition Technology of Transmission Lines Conductor Break and Surface Damage by ZENG Jun, ZHAO Zi-gen, LIU Jing-li, LIU Hong-jun, CAO Lei, GENG Shao-bo, WAN Hong-yan

“…Meanwhile, the conductor surface defects are identified by the projection algorithm of the GVN image of the conductor region. …”
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