Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability by Amir Reza Nikzad, Amr Adel Mohamed, Bala Venkatesh, John Penaranda

“…Our proposal comprises: 1) ovel deep learning-based architecture with a few convolutional neural network and long short-term memory (CNN-LSTM) modules to represent feeder connected aggregate models of DERs and loads and associated training algorithms; 2) method for estimating aggregate capacities of connected renewables and loads; and 3) method for short-term (hourly) high-resolution forecasting. …”
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Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes by Carlos Bazan, David Torres Barba, Peter Blomgren, Paul Paolini

“…The different stages are variants of mathematically sound and computationally robust algorithms very well established in the image processing community. …”
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Uniform Physics Informed Neural Network Framework for Microgrid and Its Application in Voltage Stability Analysis by Renhai Feng, Khan Wajid, Muhammad Faheem, Jiang Wang, Fazal E. Subhan, Muhammad Shoaib Bhutta

“…Accurately extracting the parameters of these models is essential for effectively controlling and optimizing the overall stability of Chongqing power system (CPS). Despite numerous algorithms proposed to tackle this issue, accurately and reliably extracting the parameters of these remains a significant challenge. …”
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Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation by Nagalakshmi R, Surbhi Bhatia Khan, Ananthoju Vijay kumar, Mahesh T R, Mohammad Alojail, Saurabh Raj Sangwan, Mo Saraee

“…Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. …”
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A novel detection method for warhead fragment targets in optical images under dynamic strong interference environments by Guoyi Zhang, Hongxiang Zhang, Zhihua Shen, Deren Kong, Chenhao Ning, Fei Shang, Xiaohu Zhang

“…However, mismatches between camera frame rates and target velocities can lead to long motion blur tails of high-speed fragment targets, resulting in low signal-to-noise ratios and rendering conventional detection algorithms ineffective in dynamic strong interference testing environments. …”
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An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance by Borislava Toleva, Ivan Atanasov, Ivan Ivanov, Vincent Hooper

“…Our methodology can outperform existing machine learning algorithms and complex deep learning models. Applying our proposed methodology is a simple and fast way to predict labels with class imbalance. …”
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PaySwitch: Smart Contract-Based Payment Switch for Off-Chain Payment Channel Networks by Anan Jin, Yuhang Ye, Brian Lee, Xiang Li, Yuansong Qiao

“…To demonstrate the feasibility of PaySwitch, this paper applies it to several routing algorithms. The experimental results show that PaySwitch is capable of improving the transaction success rate and throughput compared with the traditional payment channel based approaches.…”
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A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats by Hazem M. Kotb, Tarek Gaber, Salem AlJanah, Hossam M. Zawbaa, Mohammed Alkhathami

“…The DS-IID model addresses three key issues: it (i) detects malicious insiders using supervised learning, (ii) evaluates the effectiveness of generative algorithms in replicating real user profiles, and (iii) distinguishes between real and synthetic abnormal user profiles. …”
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Space and Time Resolved Detection of Platelet Activation and von Willebrand Factor Conformational Changes in Deep Suspensions by Jacopo Biasetti, Kaushik Sampath, Angel Cortez, Alaleh Azhir, Assaf A. Gilad, Thomas S. Kickler, Tobias Obser, Zaverio M. Ruggeri, Joseph Katz

“…In-house postprocessing algorithms identify and track the moving signals. Recombinant VWF-eGFP (rVWF-eGFP) and VWF labeled with an FITC-conjugated polyclonal antibody are employed. …”
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Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration by Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, Mukesh Kumar Dharmalingam Jothinathan

“…A combination of two feature extraction techniques, hybrid and boosting algorithms, this way leads to saving time for evaluation. …”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…In this article, we present a comprehensive review of EMS strategies for balancing SoC among BESS units, including centralized and decentralized control, multiagent systems, and other concepts, such as designing nonlinear strategies, optimal algorithms, and categorizing agents into clusters. Moreover, in this article, we discuss alternatives to improve EMS and strategies regarding the topology of power converters, including redundancy-based topology, modular multilevel converter, cascaded-based converter, and hybrid-type systems. …”
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Improving UAV Aerial Imagery Detection Method via Superresolution Synergy by Dianwei Wang, Zehao Gao, Jie Fang, Yuanqing Li, Zhijie Xu

“…The superresolution component utilizes advanced algorithms to upscale the resolution of images captured by UAVs, thereby improving the granularity and clarity of the visual data. …”
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Health system costs of providing outpatient care for diabetes in people with TB in the Philippines by T. Yamanaka, M.C. Castro, J.P. Ferrer, J.A. Solon, S.E. Cox, Y.V. Laurence, A. Vassall

“…The cost per case detected for different algorithms varied from USD17.43 to USD80.81. The monthly cost per patient was estimated at USD8.95 to USD12.36. …”
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On the current and future potential of simulations based on directed acyclic graphs by Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta

“…Increasing accessibility and extending the simulation algorithms of existing software to include longitudinal and time-to-event data are identified as priorities for further development. …”
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Introducing a Rapid and Practical Approach for Determining Fat Content in Cow Milk Using Image Processing by Lena Beheshti Moghadam, Seyed Saeid Mohtasebi, Behzad Nouri, Mahmoud Omid, Seyed Morteza Mohtasebi

“…Cow milk samples spanning a fat content range of 0.2% to 3.5% were analyzed under various lighting conditions, employing a fusion of image processing methods with artificial neural networks (ANNs) and particle swarm optimization (PSO) algorithms. Results demonstrated that the most optimal method, determined through comparative analysis against a reference sample, produced accurate estimations of milk fat content. …”
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Optimization of Solar Hybrid Power Generation Using Conductance-Fuzzy Dual-Mode Control Method by S. Ramesh, J. Seetha, G. Ramkumar, Satyajeet Sahoo, T. M. Amirthalakshmi, A. Ranjith, Asiful H. Seikh, Sohail M. A. Khan Mohammed, Ram Subbiah

“…Infrequently developing atmospheric circumstances, traditional MPPT algorithms do not work adequately. Modeling is used to determine the microgrid’s power output to the photovoltaic hybrid power generating organization, as well as the optimization method for each device in the network. …”
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Habitat Categorization and Vegetation Mapping of Kumana National Park, Sri Lanka by Pasindu Rodrigo, Charani Gunathilaka, Dulan Jayasekara, Dharshani Mahaulpatha

“…Vegetation maps for KNP were generated by applying multiple classification algorithms to Sentinel 2 multispectral satellite imagery. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…A dataset of 701 HR-ARM exams from a tertiary center, classified according to London Classification, was used to develop and test multiple machine learning (ML) algorithms. The exams were divided in a training and testing dataset with a 80/20% ratio. …”
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Soil moisture retrieval over agricultural region through machine learning and sentinel 1 observations by Deepanshu Lakra, Deepanshu Lakra, Shobhit Pipil, Prashant K. Srivastava, Suraj Kumar Singh, Manika Gupta, Rajendra Prasad

“…The present study provided a comprehensive evaluation of a wide range of advanced machine learning algorithms for Soil Moisture (SM) estimation from microwave Synthetic Aperture Radar (SAR) backscatter observations over the wheat fields. …”
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A Retroperitoneal Leiomyosarcoma Presenting as an Adrenal Incidentaloma in a Subject on Warfarin by Ishrat N. Khan, Mohamed A. Adlan, Michael J. Stechman, Lakdasa D. Premawardhana

“…Adrenal incidentalomas (AIs) are mostly benign and nonsecretory. Management algorithms lack sensitivity when assessing malignant potential, although functional status is easier to assess. …”
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