id int64 18 21.1k | created_at timestamp[ns, tz=UTC]date 2026-02-23 07:30:20 2026-02-24 16:54:39 | updated_at timestamp[ns, tz=UTC]date 2026-02-23 08:08:14 2026-02-24 16:54:39 | doc_name stringclasses 1
value | input stringlengths 11 9.24k | output stringlengths 0 738 | is_personal bool 2
classes | is_sentence bool 2
classes | is_corrected bool 2
classes |
|---|---|---|---|---|---|---|---|---|
11,507 | 2026-02-24T10:27:37.452000Z | 2026-02-24T10:27:37.452000Z | Lec. | Node2vec 22. 6.6 | false | false | false | |
11,506 | 2026-02-24T10:27:35.903000Z | 2026-02-24T10:27:35.903000Z | Lec. | Graphs_generation 21. 6.4. full_coll_with_node_to_vec_fin 21. 6.5 | false | false | false | |
11,505 | 2026-02-24T10:27:34.201000Z | 2026-02-24T10:27:34.201000Z | Lec. | Конфигурационный файл JSON 20. 6.3 | false | true | false | |
11,504 | 2026-02-24T10:27:32.361000Z | 2026-02-24T10:27:32.361000Z | Lec. | Данные для обучения моделей. 19. 6.2 | false | false | false | |
11,503 | 2026-02-24T10:27:30.332000Z | 2026-02-24T10:27:30.332000Z | Lec. | Работа ПО 19. 6.1 | false | true | false | |
11,502 | 2026-02-24T10:27:28.337000Z | 2026-02-24T10:27:28.337000Z | Lec. | GCN и GAT энкодеры 15. 6 | false | true | false | |
11,501 | 2026-02-24T10:27:26.747000Z | 2026-02-24T10:27:26.747000Z | Lec. | Архитектура TransformerConv 14. 5.3 | false | false | false | |
11,500 | 2026-02-24T10:27:25.172000Z | 2026-02-24T10:27:25.172000Z | Lec. | Нейронная сеть с механизмом Self-attention 13. 5.2 | false | false | false | |
11,499 | 2026-02-24T10:27:23.404000Z | 2026-02-24T10:27:23.404000Z | Lec. | Описание используемых моделей 12. 5.1 | false | true | false | |
11,498 | 2026-02-24T10:27:21.664000Z | 2026-02-24T10:27:21.664000Z | Lec. | Реализация и внедрение результатов проекта 10. 5 | false | true | false | |
11,497 | 2026-02-24T10:27:19.687000Z | 2026-02-24T10:27:19.687000Z | Lec. | Порядок контроля и приемки 10. 4 | false | true | false | |
11,496 | 2026-02-24T10:27:17.895000Z | 2026-02-24T10:27:17.895000Z | Lec. | Требования к программной документации 9. 3.3 | false | true | false | |
11,495 | 2026-02-24T10:27:16.115000Z | 2026-02-24T10:27:16.115000Z | Lec. | Требования к транспортированию и хранению 9. 3.2 | false | true | false | |
11,494 | 2026-02-24T10:27:14.418000Z | 2026-02-24T10:27:14.418000Z | Lec. | Требования к информационной и программной совместимости 9. 3.1.8 | false | true | false | |
11,493 | 2026-02-24T10:27:12.839000Z | 2026-02-24T10:27:12.839000Z | Lec. | Требования к составу и параметрам технических средств 8. 3.1.7 | false | true | false | |
11,492 | 2026-02-24T10:27:10.559000Z | 2026-02-24T10:27:10.559000Z | Lec. | Условия эксплуатации 8. 3.1.6 | false | true | false | |
11,491 | 2026-02-24T10:27:08.830000Z | 2026-02-24T10:27:08.830000Z | Lec. | Требования к надежности 8. 3.1.5 | false | false | false | |
11,490 | 2026-02-24T10:27:06.801000Z | 2026-02-24T10:27:06.801000Z | Lec. | Результаты 8. 3.1.4 | false | true | false | |
11,489 | 2026-02-24T10:27:05.051000Z | 2026-02-24T10:27:05.051000Z | Lec. | Исходные данные (модели комбинационных схем) 8. 3.1.3 | false | false | false | |
11,488 | 2026-02-24T10:27:03.419000Z | 2026-02-24T10:27:03.419000Z | Lec. | Выполняемые функции 8. 3.1.2 | false | false | false | |
11,487 | 2026-02-24T10:27:01.292000Z | 2026-02-24T10:27:01.292000Z | Lec. | Требования к функциональным характеристикам 8. 3.1.1 | false | true | false | |
11,486 | 2026-02-24T10:26:59.034000Z | 2026-02-24T10:26:59.034000Z | Lec. | Требования к ПО 8. 3.1 | false | true | false | |
11,485 | 2026-02-24T10:26:57.068000Z | 2026-02-24T10:26:57.068000Z | Lec. | Задачи проекта 7. 3 | false | true | false | |
11,484 | 2026-02-24T10:26:55.311000Z | 2026-02-24T10:26:55.311000Z | Lec. | Назначение разработки 7. 2.3.1 | false | true | false | |
11,483 | 2026-02-24T10:26:53.837000Z | 2026-02-24T10:26:53.837000Z | Lec. | Основания для разработки 7. 2.3 | false | true | false | |
11,482 | 2026-02-24T10:26:51.555000Z | 2026-02-24T10:26:51.555000Z | Lec. | Актуальность проекта и характеристика области применения 5. 2.2 | false | false | false | |
11,481 | 2026-02-24T10:26:49.600000Z | 2026-02-24T10:26:49.600000Z | Lec. | Краткая характеристика области применения 5. 2.1.3 | false | true | false | |
11,480 | 2026-02-24T10:26:47.648000Z | 2026-02-24T10:26:47.648000Z | Lec. | Наименование проекта 5. 2.1.2 | false | true | false | |
11,479 | 2026-02-24T10:26:45.902000Z | 2026-02-24T10:26:45.902000Z | Lec. | Введение 5. 2.1.1 | false | true | false | |
11,478 | 2026-02-24T10:26:44.380000Z | 2026-02-24T10:26:44.380000Z | Lec. | Техническое задание 5. 2.1 | true | true | false | |
11,477 | 2026-02-24T10:26:42.515000Z | 2026-02-24T10:26:42.515000Z | Lec. | Аннотация 4. 2 | false | true | false | |
11,476 | 2026-02-24T10:26:40.647000Z | 2026-02-24T10:26:40.647000Z | Lec. | Москва, 2025. 1 | false | true | false | |
11,475 | 2026-02-24T10:26:38.670000Z | 2026-02-24T10:26:38.671000Z | Lec. | Подгорный Леонид Евгеньевич БИВ215 | true | false | false | |
11,474 | 2026-02-24T10:26:36.840000Z | 2026-02-24T10:26:36.840000Z | Lec. | О Т Ч Е Т. по проектной работе. 1799: “Разработка системы предсказания параметров цифровых схем с использованием методов машинного обучения” | false | false | false | |
11,473 | 2026-02-24T10:26:35.048000Z | 2026-02-24T10:26:35.048000Z | Lec. | Ссылка_на_видео_моделирования. import pandas as pd. import drjit as dr. import mitsuba as mi. import numpy as np. import xml.etree.ElementTree as ET. import subprocess. import math. import traci. import time. import webbrowser. import os. import sionna.rt. from sionna.rt import load_scene, PlanarArray, Transmitter, Receiver, Camera, PathSolver, ITURadioMaterial, SceneObject. def timer(func):. def wrapper(*args, **kwargs):. start = time.perf_counter(). result = func(*args, **kwargs). end = time.perf_counter(). print(f"[TIMER] {func.__name__} выполнена за {end - start:.6f} сек"). return result. return wrapper. def projection(scene, veh_arr, veh_arr_pred):. new_veh_arr =[]. for i in range (len(veh_arr)):. x = veh_arr[i].get('x_coor'). y = veh_arr[i].get('y_coor'). ray = mi.Ray3f(. o=mi.Point3f([x, y, 1000]),. d=mi.Vector3f([0, 0, -1]). ). z = scene.ray_intersect(ray).p[2]. pred_veh = next((veh for veh in veh_arr_pred if veh.get('vehId')==veh_arr[i].get('vehId')),None). if pred_veh:. z_pred = pred_veh['z_coor']. if abs(z_pred - z) >5:. ray = mi.Ray3f(. o=mi.Point3f([x, y, -1000]),. d=mi.Vector3f([0, 0, 1]). ). z = scene.ray_intersect(ray).p[2]. if z!= 0 :. new_veh_arr.append({'vehId':veh_arr[i].get('vehId'),. 'x_coor':veh_arr[i].get('x_coor'),. 'y_coor':veh_arr[i].get('y_coor') ,. 'z_coor':z[0],. 'angle':veh_arr[i].get('angle'),. 'velocity': veh_arr[i].get('velocity'). }). return new_veh_arr. def run_sumo_server(scenario:str = 'test_scenario',. port:int = 8813):. process = subprocess.Popen(. f'sumo -c scenarios/{scenario}/sumo_dir/osm.sumocfg --remote-port {port}'.split(' '),. stdout=subprocess.PIPE,. stderr=subprocess.PIPE,. text=True. ). print (f'***Starting SUMO server on port {port} ***', process.pid). def get_config_coordinates ():. url = 'https://prochitecture.com/blender-osm/extent/?blender_version=4.2&addon=blosm&addon_version=2.7.14'. webbrowser.open(url=url). with open('config.txt', 'w') as f:. coords = input("Enter coordinates: "). f.write(coords). def import_scenario():. subprocess.run('blender --background --python blender_auto.py'.split(' ')). print('Scenario installed'). @timer. def frame_handler(scene,. veh_arr,. car_material,. distance = 100,. render: bool = False,. scenario:str = 'scenario',. camera_default:bool = True,. resolution = [650,500],. step:int = 0):. # Only process frames that contain vehicles. if len(veh_arr)!=0:. frame_rssi = {v['vehId']: {} for v in veh_arr}. frame_loss = {v['vehId']: {} for v in veh_arr}. # Create 3D car models for visualization. cars = [SceneObject(. fname= sionna.rt.scene.low_poly_car,. name=f'{veh_arr[i]["vehId"]}',. radio_material=car_material. ) for i in range(len(veh_arr))]. scene.edit(add=cars). for i in range(len(veh_arr)):. cars[i].position = mi.Point3f(. veh_arr[i]['x_coor'],. veh_arr[i]['y_coor'],. veh_arr[i]['z_coor']+1. ). cars[i].orientation = mi.Point3f(float(veh_arr[i]['angle']), 0, 0). cars[i].scaling = mi.Float(1.5). # Add all vehicles as both transmitters and receivers. scene.add(Transmitter(. f'tx-{veh_arr[i]["vehId"]}',. position=[veh_arr[i]['x_coor'], veh_arr[i]['y_coor'], veh_arr[i]['z_coor']+3],. display_radius=2. )). scene.add(Receiver(. f'rx-{veh_arr[i]["vehId"]}',. position=[veh_arr[i]['x_coor'], veh_arr[i]['y_coor'], veh_arr[i]['z_coor']+3],. display_radius=2. )). # Calculate signal paths between all pairs of vehicles. if len(veh_arr) > 1:. p_solver = PathSolver(). paths = p_solver(. scene=scene,. max_depth=4,. los=True,. specular_reflection=True,. diffuse_reflection=True,. refraction=True,. synthetic_array=False,. seed=42. ). # Extract channel impulse response and calculate power for each pair. for i in range(len(veh_arr)):. for j in range(len(veh_arr)):. if i != j:. # Calculate distance between vehicles. dist = math.sqrt(. (veh_arr[i]['x_coor'] - veh_arr[j]['x_coor'])**2 +. (veh_arr[i]['y_coor'] - veh_arr[j]['y_coor'])**2 +. (veh_arr[i]['z_coor'] - veh_arr[j]['z_coor'])**2. ). if dist < distance:. # Get CIR between this pair. a, _ = paths.cir(normalize_delays=False,. out_type='numpy'). path_powers = np.abs(a[i][0][j][0])**2. total_power = np.sum(path_powers). total_power_log = 10*np.log10(total_power) if total_power > 0 else -200. frame_rssi[veh_arr[i]['vehId']][veh_arr[j]['vehId']] = total_power_log. freq = scene.frequency. fspl = 20*np.log10(dist) + 20*np.log10(freq) + 20*np.log10(4 * np.pi / 3e8) # free-space path loss. tx_power = 20 # dBm, typical V2X transmission power. rssi = np.abs(tx_power - total_power_log - fspl.item()) #Power of Tx - free space loss - power of Rx. frame_loss[veh_arr[i]['vehId']][veh_arr[j]['vehId']] = rssi. else: # Out of range. frame_rssi[veh_arr[i]['vehId']][veh_arr[j]['vehId']] = 0. frame_loss[veh_arr[i]['vehId']][veh_arr[j]['vehId']] = -200. else: # Same vehicle. frame_rssi[veh_arr[i]['vehId']][veh_arr[j]['vehId']] = 0. frame_loss[veh_arr[i]['vehId']][veh_arr[j]['vehId']] = 0. if render:. if camera_default:. avg_x = sum(v['x_coor'] for v in veh_arr) / len(veh_arr). avg_y = sum(v['y_coor'] for v in veh_arr) / len(veh_arr). avg_z = sum(v['z_coor'] for v in veh_arr) / len(veh_arr). cam = Camera(. position=[avg_x, avg_y - 200, avg_z + 200],. look_at=[avg_x, avg_y, avg_z]. ). else:. cam = Camera(. # position=[826.43,-485.76, 222.7],. # look_at=[334.50,86.23,13.11]. position=[334.50,86.23,1000],. look_at=[334.50,86.23,13.11]. ). try:. scene.render_to_file(. camera=cam,. filename=f'scenarios/{scenario}/render_frames/{int(step)}.png',. resolution=resolution,. paths=paths if len(veh_arr) > 1 else None. ). except Exception as e:. print(f"Rendering error: {e}"). scene.render_to_file(. camera=cam,. filename=f'scenarios/{scenario}/render_frames/{int(step)}.png',. resolution=resolution. ). for i in range(len(veh_arr)):. scene.remove(f'tx-{veh_arr[i]["vehId"]}'). scene.remove(f'rx-{veh_arr[i]["vehId"]}'). scene.edit(remove=cars). return frame_rssi,frame_loss. def signal_propogation(scenario: str = 'scenario',. begin_frame:int = 0,. stop_frame:int =100,. distance: int = 500,. render:bool =False,. camera_default: bool = True,. resolution: list = [650, 500],. output_video_name: str = 'render',. port:int = 8813):. flag = input('Continue simulation y/n: '). if flag == 'n':. return. # Load the scene and configure antenna arrays. scene = load_scene(f'scenarios/{scenario}/scenario.xml'). # Configure transmitter array properties. scene.tx_array = PlanarArray(num_rows=1,. num_cols=1,. vertical_spacing=0.5,. horizontal_spacing=0.5,. pattern="iso",. polarization="V"). # Configure receiver array properties. scene.rx_array = PlanarArray(num_rows=1,. num_cols=1,. vertical_spacing=0.5,. horizontal_spacing=0.5,. pattern="iso",. polarization="cross"). # Create radio material for vehicles. car_material = ITURadioMaterial("car-material",. "metal",. thickness=0.01,. color=(0.8, 0.1, 0.1)). os.makedirs(f'scenarios/{scenario}/render_frames', exist_ok=True). os.makedirs(f'scenarios/{scenario}/output_data', exist_ok=True). try:. # Connect to the SUMO server. traci.init(port). print(f"Connected to SUMO server on port {port}"). step = 0. x_max =float(traci.simulation.getNetBoundary()[1][0]). y_max =float(traci.simulation.getNetBoundary()[1][1]). columns = ['Frame','Cars_Data', 'PathLoss', 'RSSI']. all_rssi_df = pd.DataFrame(columns=columns). veh_arr_pred =[]. terrain = mi.load_file(f'scenarios/{scenario}/terrain.xml'). while step < stop_frame: # Run for 1000 simulation steps. traci.simulationStep() # Advance the simulation by one step. step += 1. if step<begin_frame:. continue. vehicle_ids = traci.vehicle.getIDList(). offset = [0,0]. veh_arr = []. for vehID in vehicle_ids:. veh_arr.append({'vehId':vehID,. 'x_coor':float(traci.vehicle.getPosition(vehID=vehID)[0]-x_max/2) + offset[0],. 'y_coor':float(traci.vehicle.getPosition(vehID=vehID)[1]-y_max/2) + offset[1],. 'angle':-np.radians(float(traci.vehicle.getAngle(vehID=vehID) + 90)),. 'velocity':float(traci.vehicle.getSpeed(vehID=vehID))}). veh_arr = projection(terrain,veh_arr=veh_arr,veh_arr_pred=veh_arr_pred). veh_arr_pred = veh_arr. print(f'Frame: {step}, Number of vehicles: {len(veh_arr)}'). result, loss = frame_handler(scene=scene,. veh_arr=veh_arr,. car_material=car_material,. distance=distance,. render=render,. scenario=scenario,. camera_default=camera_default,. resolution=resolution,. step=step. ). new_row = pd.DataFrame([{. 'Frame': step,. 'Cars_Data': veh_arr,. 'PathLoss': result,. 'RSSI': loss. }]). all_rssi_df = pd.concat([all_rssi_df,new_row],ignore_index=True). all_rssi_df.to_csv(f'scenarios/{scenario}/output_data/output{begin_frame}-{stop_frame}.csv',sep = ' ', index = False). print('Simulation Finished for all vehicles'). except KeyboardInterrupt:. print('Interrrupted'). finally:. # Close the connection to SUMO. traci.close(). print("Disconnected from SUMO server."). return. if __name__ == '__main__':. # Example usage with custom parameters. scenario = 'scenario_tunnel'. run_sumo_server(scenario=scenario). signal_propogation(. scenario=scenario,. begin_frame = 1,. stop_frame = 500,. distance=1000,. render=False,. camera_default=False,. resolution=[650,500]. ). # get_config_coordinates(). #sumo -c scenarios/test_scenario/2025-04-21-16-39-58/osm.sumocfg --remote-port 8813 | false | true | false | |
11,472 | 2026-02-24T10:26:30.115000Z | 2026-02-24T10:26:30.115000Z | Lec. | GitHub. https://github.com/vvoovv/blosm | false | false | false | |
11,471 | 2026-02-24T10:26:28.365000Z | 2026-02-24T10:26:28.365000Z | Lec. | Source code is in the branch “release”. (n.d.) | false | true | false | |
11,470 | 2026-02-24T10:26:26.658000Z | 2026-02-24T10:26:26.658000Z | Lec. | Global coverage | false | false | false | |
11,469 | 2026-02-24T10:26:24.879000Z | 2026-02-24T10:26:24.879000Z | Lec. | A few clicks import of Google 3D cities, OpenStreetMap, terrain | false | true | false | |
11,468 | 2026-02-24T10:26:22.888000Z | 2026-02-24T10:26:22.888000Z | Lec. | Blender Foundation. (n.d.). blender.org - Home of the Blender project - Free and Open 3D Creation Software. blender.org. https://www.blender.org/. vvoovv/blosm: Blosm addon for Blender | false | true | false | |
11,467 | 2026-02-24T10:26:20.854000Z | 2026-02-24T10:26:20.854000Z | Lec. | OpenStreetMap. https://www.openstreetmap.org | false | true | false | |
11,466 | 2026-02-24T10:26:18.978000Z | 2026-02-24T10:26:18.978000Z | Lec. | OpenStreetMap. (n.d.) | false | true | false | |
11,465 | 2026-02-24T10:26:17.141000Z | 2026-02-24T10:26:17.141000Z | Lec. | The 21st IEEE International Conference on Intelligent Transportation Systems, 2018-11-04 - 2018-11-07, Maui, USA. doi: 10.1109/ITSC.2018.8569938 | false | true | false | |
11,464 | 2026-02-24T10:26:15.022000Z | 2026-02-24T10:26:15.022000Z | Lec. | In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 2575-2582 | false | true | false | |
11,463 | 2026-02-24T10:26:13.053000Z | 2026-02-24T10:26:13.053000Z | Lec. | Alvarez Lopez, Pablo and Behrisch, Michael and Bieker-Walz, Laura and Erdmann, Jakob and Flötteröd, Yun-Pang and Hilbrich, Robert and Lücken, Leonhard and Rummel, Johannes and Wagner, Peter and Wießner, Evamarie (2018) Microscopic Traffic Simulation using SUMO | true | false | false | |
11,462 | 2026-02-24T10:26:10.251000Z | 2026-02-24T10:26:10.251000Z | Lec. | Влияние строительных материалов и структур на распространение радиоволн на частотах выше приблизительно 100 МГц. https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.2040-3-202308-I!!PDF-R.pdf | false | true | false | |
11,461 | 2026-02-24T10:26:08.546000Z | 2026-02-24T10:26:08.546000Z | Lec. | Международный союз электросвязи. (2024) | false | true | false | |
11,460 | 2026-02-24T10:26:06.735000Z | 2026-02-24T10:26:06.735000Z | Lec. | IEEE standard test procedures for antennas. https://antennatestlab.com/wp-content/uploads/2017/02/IEEE_Std_149-1979_Test_Procedures_for_Antennas.pdf | false | true | false | |
11,459 | 2026-02-24T10:26:04.913000Z | 2026-02-24T10:26:04.913000Z | Lec. | IEEE Antenna Standards Committee. (1979) | false | true | false | |
11,458 | 2026-02-24T10:26:03.150000Z | 2026-02-24T10:26:03.150000Z | Lec. | Available: https://mitsuba-renderer.org4 | false | false | false | |
11,457 | 2026-02-24T10:26:01.461000Z | 2026-02-24T10:26:01.461000Z | Lec. | Zhang, “Mitsuba 3 Physically Based Renderer,” 2022. [Online] | false | true | false | |
11,456 | 2026-02-24T10:25:59.538000Z | 2026-02-24T10:25:59.538000Z | Lec. | Leroy, and Z | false | true | false | |
11,455 | 2026-02-24T10:25:57.696000Z | 2026-02-24T10:25:57.696000Z | Lec. | Nimier-David, D | false | false | false | |
11,454 | 2026-02-24T10:25:56.042000Z | 2026-02-24T10:25:56.042000Z | Lec. | Vicini, “Dr.Jit: A just-in-time compiler for differentiable rendering,” Transactions on Graphics (Proceedings of SIGGRAPH), vol. 41, no. 4, Jul. 2022. 4 | false | true | false | |
11,453 | 2026-02-24T10:25:54.044000Z | 2026-02-24T10:25:54.044000Z | Lec. | Roussel, and D | false | false | false | |
11,452 | 2026-02-24T10:25:52.285000Z | 2026-02-24T10:25:52.285000Z | Lec. | Speierer, N | false | false | false | |
11,451 | 2026-02-24T10:25:50.792000Z | 2026-02-24T10:25:50.792000Z | Lec. | Https://github.com/NVlabs/instant-rm | false | false | false | |
11,450 | 2026-02-24T10:25:49.182000Z | 2026-02-24T10:25:49.182000Z | Lec. | NVlabs/instant-rm: Instant Radio Maps (Instant RM) - Fast and Differentiable Radio Maps. (n.d.) | false | false | false | |
11,449 | 2026-02-24T10:25:47.273000Z | 2026-02-24T10:25:47.273000Z | Lec. | The Journal of Open Source Software, 9(98), 6915 | false | false | false | |
11,448 | 2026-02-24T10:25:45.548000Z | 2026-02-24T10:25:45.548000Z | Lec. | DIFFERT2D: a differentiable ray Tracing Python framework for radio propagation | false | false | false | |
11,447 | 2026-02-24T10:25:43.595000Z | 2026-02-24T10:25:43.595000Z | Lec. | Eertmans, J., Oestges, C., & Jacques, L. (2024) | false | true | false | |
11,446 | 2026-02-24T10:25:41.709000Z | 2026-02-24T10:25:41.709000Z | Lec. | SIONNA RT: Differentiable Ray Tracing for radio Propagation Modeling. 2022 IEEE Globecom Workshops (GC Wkshps). https://doi.org/10.1109/gcwkshps58843.2023.10465179 | false | true | false | |
11,445 | 2026-02-24T10:25:39.583000Z | 2026-02-24T10:25:39.583000Z | Lec. | A., Cammerer, S., Nimier-David, M., Binder, N., Marcus, G., & Keller, A. (2023) | true | true | false | |
11,444 | 2026-02-24T10:25:37.783000Z | 2026-02-24T10:25:37.783000Z | Lec. | Hoydis, J., Aoudia, F | false | false | false | |
11,443 | 2026-02-24T10:25:35.996000Z | 2026-02-24T10:25:35.996000Z | Lec. | IEEE Access, 7, 44021–44036. https://doi.org/10.1109/access.2019.2908651 | false | false | false | |
11,442 | 2026-02-24T10:25:34.026000Z | 2026-02-24T10:25:34.026000Z | Lec. | Vehicular networks simulation with realistic physics | false | true | false | |
11,441 | 2026-02-24T10:25:32.507000Z | 2026-02-24T10:25:32.507000Z | Lec. | Egea-Lopez, E., Losilla, F., Pascual-Garcia, J., & MolinaGarcia-Pardo, J | false | false | false | |
11,440 | 2026-02-24T10:25:30.723000Z | 2026-02-24T10:25:30.723000Z | Lec. | Scopigno, "RADII: a computationallyaffordable method to summarize urban ray-tracing data for VANETs,"in International Conference on Wireless Communications, Networkingand Mobile Computing (WiCOM), 2011, pp. 1-6 | false | true | false | |
11,439 | 2026-02-24T10:25:28.788000Z | 2026-02-24T10:25:28.788000Z | Lec. | Fileppo, and R | false | false | false | |
11,438 | 2026-02-24T10:25:27.114000Z | 2026-02-24T10:25:27.114000Z | Lec. | Wiesbeck, "A new inter-vehiclecommunications (IVC) channel model," in IEEE Vehicular TechnologyConference (VTC-Fall), September 2004, pp. 9-13 | false | true | false | |
11,437 | 2026-02-24T10:25:25.131000Z | 2026-02-24T10:25:25.131000Z | Lec. | Schafer, and W | false | false | false | |
11,436 | 2026-02-24T10:25:23.319000Z | 2026-02-24T10:25:23.319000Z | Lec. | Tonguz, “Geometry-based vehicle-to-vehicle channel modeling for large-scale simulation,” IEEE Transactionson Vehicular Technology, vol. 63, no. 9, pp. 4146–4164, Nov 2014 | false | true | false | |
11,435 | 2026-02-24T10:25:21.310000Z | 2026-02-24T10:25:21.310000Z | Lec. | Barros, and O | false | true | false | |
11,434 | 2026-02-24T10:25:19.518000Z | 2026-02-24T10:25:19.518000Z | Lec. | Mudalige, "Mobilevehicle-to-vehicle narrow-band channel measurement and characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC)frequency band," IEEE Journal on Selected Areas in Communications ,vol. 25, no. 8, pp. 1501-1516, Oct. 2007 | false | false | false | |
11,433 | 2026-02-24T10:25:17.527000Z | 2026-02-24T10:25:17.527000Z | Lec. | Rappaport, Wireless Communications: Principles and Practice.Prentice Hall, 1996 | false | false | false | |
11,432 | 2026-02-24T10:25:15.713000Z | 2026-02-24T10:25:15.713000Z | Lec. | Naranjo,“Vehicle to pedestrian communications for protection of vulnerable roadusers,” in IEEE Intelligent Vehicles Symposium, 2014, pp. 1037–1042 | false | true | false | |
11,431 | 2026-02-24T10:25:13.827000Z | 2026-02-24T10:25:13.827000Z | Lec. | Nashashibi, and J | false | true | false | |
11,430 | 2026-02-24T10:25:12.033000Z | 2026-02-24T10:25:12.033000Z | Lec. | Merdrignac, O | false | false | false | |
11,429 | 2026-02-24T10:25:10.464000Z | 2026-02-24T10:25:10.464000Z | Lec. | Oestges, “Wideband MIMO car-to-car radio channel measurements at 5.3 GHz,” in IEEE68th Vehicular Technology Conference (VTC Fall), 2008, pp. 1–5 | false | true | false | |
11,428 | 2026-02-24T10:25:08.653000Z | 2026-02-24T10:25:08.653000Z | Lec. | Vainikainen, and C | false | false | false | |
11,427 | 2026-02-24T10:25:07.066000Z | 2026-02-24T10:25:07.066000Z | Lec. | Kolmonen, P | false | false | false | |
11,426 | 2026-02-24T10:25:05.542000Z | 2026-02-24T10:25:05.542000Z | Lec. | Renaudin, V | false | false | false | |
11,425 | 2026-02-24T10:25:03.768000Z | 2026-02-24T10:25:03.768000Z | Lec. | Hartenstein, "A validated 5.9 GHz non-line-of-sight path-loss and fading model for inter-vehicle communication," in 11th International Conference on ITS Telecommunications(ITST), August 2011, pp. 75 -80 | false | true | false | |
11,424 | 2026-02-24T10:25:01.774000Z | 2026-02-24T10:25:01.774000Z | Lec. | Klemp, and H | false | false | false | |
11,423 | 2026-02-24T10:25:00.031000Z | 2026-02-24T10:25:00.031000Z | Lec. | Keusgen,"Pathloss and multipath power decay of the wideband car-to-car channel at 5.7 GHz," in IEEE Vehicular Technology Conference (VTC Spring),May 2011, pp. 1-5 | false | false | false | |
11,422 | 2026-02-24T10:24:58.084000Z | 2026-02-24T10:24:58.084000Z | Lec. | Peter, and W | false | true | false | |
11,421 | 2026-02-24T10:24:56.262000Z | 2026-02-24T10:24:56.262000Z | Lec. | Paschalidis, K | true | false | false | |
11,420 | 2026-02-24T10:24:54.737000Z | 2026-02-24T10:24:54.737000Z | Lec. | Molisch, "A geometry-based stochastic MIMO model for vehicle-to-vehicle communications," IEEE Transactions on Wireless Communications, vol. 8, no. 7, pp. 3646-3657 | false | false | false | |
11,419 | 2026-02-24T10:24:52.458000Z | 2026-02-24T10:24:52.458000Z | Lec. | Mecklenbrauker, and A | false | true | false | |
11,418 | 2026-02-24T10:24:50.640000Z | 2026-02-24T10:24:50.640000Z | Lec. | Tufvesson, N | true | false | false | |
11,417 | 2026-02-24T10:24:49.159000Z | 2026-02-24T10:24:49.159000Z | Lec. | Tufvesson, "A measurement, based shadow fading model for vehicle-to-vehicle network simulations,"arXiv preprint arXiv:1203.3370v2 | false | false | false | |
11,416 | 2026-02-24T10:24:47.197000Z | 2026-02-24T10:24:47.197000Z | Lec. | Karedal, and F | false | true | false | |
11,415 | 2026-02-24T10:24:45.439000Z | 2026-02-24T10:24:45.439000Z | Lec. | IEEE Vehicular Technology Magazine, 10(2), https://doi.org/10.1109/mvt.2015.2410341 | false | false | false | |
11,414 | 2026-02-24T10:24:43.652000Z | 2026-02-24T10:24:43.652000Z | Lec. | Vehicular Communications: Survey and challenges of channel and propagation models | false | true | false | |
11,413 | 2026-02-24T10:24:41.763000Z | 2026-02-24T10:24:41.763000Z | Lec. | H., & Vasilakos, A. (2015) | false | false | false | |
11,412 | 2026-02-24T10:24:40.103000Z | 2026-02-24T10:24:40.103000Z | Lec. | Viriyasitavat, W., Boban, M., Tsai, N | true | false | false | |
11,411 | 2026-02-24T10:24:38.274000Z | 2026-02-24T10:24:38.274000Z | Lec. | Sensors, 18(11), 3622. https://doi.org/10.3390/s18113622 | false | false | false | |
11,410 | 2026-02-24T10:24:36.173000Z | 2026-02-24T10:24:36.173000Z | Lec. | A cooperative communication protocol for QOS provisioning in IEEE 802.11P/Wave vehicular networks | false | true | false | |
11,409 | 2026-02-24T10:24:34.178000Z | 2026-02-24T10:24:34.178000Z | Lec. | Kim, J., Kim, J., & Jeon, D. (2018) | false | false | false | |
11,408 | 2026-02-24T10:24:32.384000Z | 2026-02-24T10:24:32.384000Z | Lec. | IEEE Journals & Magazine | IEEE Xplore. https://ieeexplore.ieee.org/document/9734746 | false | false | false |
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