Management of extra-articular distal humerus fractures presents a challenge to the treating surgeon due complex anatomy part and complicated fracture morphology. Although surgical treatment has shown provide more stable reduction alignment predictable return function, it been associated with complications like iatrogenic radial nerve palsy, infection, non-union Implant failure. We in present series retrospectively analysed 20 patients shaft surgically treated using humeral locking plate...

The benchmark method for the evaluation of breast cancers involves microscopic testing a hematoxylin and eosin (H&E)‐stained tissue biopsy. Resurgery is required in 20% to 30% cases because incomplete excision malignant tissues. Therefore, more accurate detect cancer margin avoid risk recurrence. In recent years, convolutional neural networks (CNNs) has achieved excellent performance field medical images diagnosis. It automatically extracts features from classifies them. proposed study,...

In breast cancer, 20%-30% of cases require a second surgery because incomplete excision malignant tissues. Therefore, to avoid the risk recurrence, accurate detection cancer margin by clinician or surgeons needs some assistance. this paper, an automated volumetric analysis normal and tissue is done machine learning algorithm separate them into two classes. The proposed method based on support-vector-machine-based classifier dissociating 10 features extracted from A-line, texture, phase map...

Abstract The three‐dimensional (3D) printed poly lactic acid (PLA) bone plates lack mechanical strength, resulting in premature failure. Coating these with polydopamine (PDM) forms covalent bonds the PLA molecular structure, enhancing their properties. strength of coated is influenced by infill density, submersion time, shaker speed, and coating solution concentration. However, conducting experiments for each parameter value to achieve maximum biomechanical tensile (BTS) flexural (BFS)...

Abstract Leaf senescence provides a unique window to explore the age-dependent programmed degradation at organ label in plants. Here, spectral domain optical coherence tomography (SD-OCT) has been used study vivo senescing leaf microstructural changes deciduous plant Acer serrulatum Hayata . leaves show autumn phenology and change color from green yellow finally red. SD-OCT image analysis shows distinctive features among different layers of leaves; merging upper epidermis palisade form...

Abstract Globally the devastating consequence of COVID-19 or Severe Acute Respiratory Syndrome-Coronavirus (SARS-CoV-2) has posed danger on life living beings. Doctors and scientists throughout world are working day night to combat proliferation transmission this deadly disease in terms technology, finances, data repositories, protective equipment, many other services. Rapid efficient detection reduces rate spreading early treatment improve recovery rate. In paper, we proposed a new...

Ball and beam is a popular benchmark problem in control engineering. Various strategies have been proposed on ball & system literature, In this paper, hybrid optimization algorithms implemented PID controller to position angle. Hybrid combine exploration exploitation ability of individual algorithm find optimized value performance index. two namely PSO-GSA PSO-GWO are used tune parameters which turn improve the performance. Simulation results show effective efficient improvement with...

Purpose Three-dimensional (3D) printing is highly dependent on process parameters for achieving high mechanical strength. It a time-consuming and expensive operation to experiment with different settings. The current study aims propose regression-based machine learning model predict the behavior of ulna bone plates. Design/methodology/approach plates were formed using fused deposition modeling (FDM) technique, attributes being varied. models such as linear regression, AdaBoost gradient...

We report the first fully automated detection of human skin burn injuries in vivo, with goal automatic surgical margin assessment based on optical coherence tomography (OCT) images. Our proposed procedure entails building a machine-learning-based classifier by extracting quantitative features from normal and tissue images recorded OCT. In this study, 56 samples (28 normal, 28 burned) were imaged OCT eight extracted. A linear model was trained using 34 22 used to test model. Sensitivity 91.6%...

Early identification of fungal infection on the human scalp is crucial for avoiding hair loss. The diagnosis based a visual assessment by trained experts or doctors. Optical coherence tomography (OCT) has ability to capture information from with high resolution. In this study, we present fully automated, non-contact, non-invasive optical method rapid detection infections extracted features A-line and B-scan images OCT. A multilevel ensemble machine model designed perform automated...

In this paper optimization algorithms name as particle swarm (PSO) and teacher learning based (TLBO) has been implemented on continuous stirred tank reactor (CSTR). Conventional PID controller, PSO control scheme TLBO are used to the system concentration temperature. Optimization improve performance by minimizing mean square error (MSE) optimize controller parameters like Kp, Ki, Kd. The Simulation results shows that gives better performance, optimized values of minimum MSE in less iteration...

The second most leading cause of death in women is breast cancer even after surgery 20%–30% patients require re-surgery for the removal incomplete malignant tissue. To reduce risk recurrence exact navigation during essential. In this paper, a multi-level ensemble model developed to classify normal and cancerous tissue using features extracted from optical coherence tomography images. Both A-line B-scan were training data feature space was best-first search select best subset each base...

Currently, breast tissue images are primarily classified by pathologists, which is time-consuming and subjective. Deep learning, however, can perform this task with the utmost precision. In order to achieve an improved performance, a large number of annotated datasets required train network, challenging in medical field. paper, we propose intelligent system, based on generative adversarial networks (GANs) convolution neural network (CNN) for automatic classification cancer, using optical...

An efficient optimization technique based controller is proposed, for non-linear systems like inverted pendulum and robotic arm manipulator which are bench mark problems in control engineering. The optimizing the gain parameters by using Whale algorithm (WOA). WOA applied on Conventional PID to optimize their i.e. Kp, Ki Kd. Mean Square Error (MSE) taken as objective function. Simulation results show substantial improvement performance of nonlinear systems.